WO2020057198A1

WO2020057198A1 - Image processing method and device, electronic device and storage medium

Info

Publication number: WO2020057198A1
Application number: PCT/CN2019/091579
Authority: WO
Inventors: 李小朋
Original assignee: Oppo广东移动通信有限公司
Priority date: 2018-09-20
Filing date: 2019-06-17
Publication date: 2020-03-26
Also published as: CN109218628B; CN109218628A

Abstract

The present application relates to the technical field of imaging, and provided thereby are an image processing method and device, an electronic device and a storage medium. The method comprises: determining a target exposure amount of each image to be acquired among multiple images to be acquired according to the illuminance of a current capture scene; determining an exposure duration of the each image to be acquired according to a preset sensitivity and the target exposure of the each image to be acquired; acquiring multiple images sequentially according to the preset sensitivity and the exposure duration of the each image to be acquired; and synthesizing the acquired multiple images so as to generate a target image. Thus, by means of the described image processing method, the dynamic range and overall brightness of a capture image are improved, and the noise in the captured image is also effectively suppressed, so that bright and dark areas may both be clearly displayed, the quality of the capture image is improved, and the user experience is thus improved.

Description

Image processing method, device, electronic equipment and storage medium

Cross-reference to related applications

This application claims the priority of China Patent Application No. “201811103107.3” filed by OPPO Guangdong Mobile Communication Co., Ltd. on September 20, 2018 with the invention name “Image Processing Method, Device, Electronic Equipment and Storage Medium”.

Technical field

The present application relates to the field of imaging technology, and in particular, to an image processing method, device, electronic device, and storage medium.

Background technique

With the development of technology, smart mobile terminals (such as smart phones, tablet computers, etc.) are becoming more and more popular. Most smartphones and tablets have a built-in camera, and with the enhancement of mobile terminal processing capabilities and the development of camera technology, the performance of the built-in camera is getting stronger and the quality of captured images is getting higher and higher. Now the operation of mobile terminals is simple and easy to carry. In daily life, people use mobile terminals such as smart phones and tablets to take pictures.

While smart mobile terminals bring convenience to people's daily photography, people's requirements for the quality of captured images are also getting higher and higher. However, due to the limitation of professional level, people do not know how to set appropriate shooting parameters according to the shooting scene, so it is difficult to take an image as good as a professional camera.

Summary of the Invention

The image processing method, device, electronic device, and storage medium proposed in this application are used to solve the related art. Images captured in night scenes not only have a limited dynamic range, but also highlights and dark areas cannot be clearly displayed, affecting user experience. problem.

The image processing method according to the embodiment of one aspect of the present application includes: determining a target exposure amount of each frame of the to-be-acquired image in a plurality of frames of the to-be-acquired image according to the illumination of the current shooting scene; and according to a preset sensitivity and the The target exposure of the collected image determines the exposure time of each frame of the image to be collected; according to the preset sensitivity and the exposure time of each frame of the image to be acquired, multiple frames of images are sequentially acquired; and the acquired multiple frames of images are processed Synthesis processing to generate a target image.

An image processing device provided by another embodiment of the present application includes: a first determining module, configured to determine a target exposure amount of each of the frames of images to be acquired among a plurality of frames of images to be acquired according to the illumination of the current shooting scene; a second determination module Is configured to determine the exposure duration of each frame of the to-be-acquired image according to the preset sensitivity and the target exposure amount of the image to be collected per frame; the acquisition module is configured to be based on the preset sensitivity and each frame to be collected The exposure time of the image is to sequentially acquire multiple frames of images; a synthesis module is configured to synthesize the acquired multiple frames of images to generate a target image.

An electronic device according to another embodiment of the present application includes: the camera module, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes The program realizes the image processing method as described above.

The computer-readable storage medium provided by the embodiments of the present invention in another aspect stores a computer program thereon, which is characterized in that, when the program is executed by a processor, the image processing method described above is implemented.

A computer program according to another embodiment of the present application, which is executed by a processor to implement the image processing method according to the embodiment of the present application.

The image processing method, device, electronic device, computer-readable storage medium, and computer program provided in the embodiments of the present application can determine the target exposure amount of each frame of the to-be-acquired image in the multi-frame to-be-acquired image according to the illumination of the current shooting scene, and According to the preset sensitivity and the target exposure of each frame of images to be acquired, determine the exposure time of each frame of images to be acquired, and then according to the preset sensitivity and the exposure time of each frame of images to be acquired, sequentially collect multiple frames of images and Perform synthesis processing to generate a target image. Therefore, the exposure time of each frame to be acquired is determined according to the illumination of the current shooting scene and the preset sensitivity, so that multiple images with different exposure durations are captured and synthesized, which not only improves the dynamic range of the captured images And overall brightness, and effectively suppress the noise in the captured image, so that the bright and dark areas can be clearly displayed, which improves the quality of the captured image and improves the user experience.

Additional aspects and advantages of the present application will be given in part in the following description, part of which will become apparent from the following description, or be learned through practice of the present application.

BRIEF DESCRIPTION OF THE DRAWINGS

The above and / or additional aspects and advantages of this application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

FIG. 1 is a schematic flowchart of an image processing method according to an embodiment of the present application;

2 is a schematic flowchart of another image processing method according to an embodiment of the present application;

3 is a schematic flowchart of another image processing method according to an embodiment of the present application;

4 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present application;

5 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

FIG. 6 is a schematic structural diagram of another electronic device according to an embodiment of the present application.

detailed description

Hereinafter, embodiments of the present application will be described in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals represent the same or similar elements throughout. The embodiments described below with reference to the drawings are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

The embodiments of the present application propose an image processing method for the problem that, in the related art, an image captured in a night scene scene has a limited dynamic range, and highlights and dark areas cannot be clearly displayed, which affects the user experience.

According to the image processing method provided in the embodiment of the present application, the target exposure amount of each frame of the to-be-acquired image in the multiple frames of the to-be-acquired image may be determined according to the illumination of the current shooting scene, and the preset sensitivity and the target of the to-be-acquired image per frame The amount of exposure determines the exposure time of the image to be collected for each frame, and then according to the preset sensitivity and the exposure time of the image to be collected for each frame, multiple frames of images are sequentially collected and synthesized to generate a target image. Therefore, the exposure time of each frame to be acquired is determined according to the illumination of the current shooting scene and the preset sensitivity, so that multiple images with different exposure durations are captured and synthesized, which not only improves the dynamic range of the captured images And overall brightness, and effectively suppress the noise in the captured image, so that the bright and dark areas can be clearly displayed, which improves the quality of the captured image and improves the user experience.

The image processing method, device, electronic device, storage medium, and computer program provided in the present application are described in detail below with reference to the drawings.

FIG. 1 is a schematic flowchart of an image processing method according to an embodiment of the present application.

As shown in FIG. 1, the image processing method includes the following steps:

Step 101: Determine a target exposure amount of each frame of the image to be acquired in the plurality of frames of the image to be acquired according to the illumination of the current shooting scene.

When people use mobile terminals for daily photography, due to the limitation of professional level, people do not know how to set appropriate shooting parameters according to the shooting scene, so it is difficult to take images as good as professional cameras, especially in rainy weather, backlit scenes, night scenes In other special scenes, the image quality is poor. For example, in a night scene, the bright areas are easily overexposed and cannot be displayed clearly, and the dark areas are too dark, or there is too much noise after being brightened.

In the embodiment of the present application, the light metering module in the camera module can be used to obtain the light intensity of the current shooting scene, and an automatic exposure control (Auto Exposure Control (AEC) algorithm) is used to determine the exposure amount corresponding to the current light intensity.

It should be noted that, in a possible implementation form of the embodiment of the present application, multiple frames of images can be collected by using different exposure amounts, and the collected multiple frames of images can be combined to generate a target image to improve the captured image. Dynamic range and overall brightness to improve the quality of captured images. The number of images to be acquired may be preset in advance according to actual needs. For example, in the embodiment of the present application, the number of images to be acquired may be 20 frames.

Further, the target exposure amount of the image to be acquired in each frame can be determined through the illumination of the current shooting scene and the preset exposure compensation mode, so as to perform different exposure compensation on the images to be acquired in multiple frames. That is, in a possible implementation form of this embodiment of the present application, the foregoing step 101 may include:

Determining a reference exposure amount and an exposure compensation range of multiple frames of images to be acquired according to the illumination of the current shooting scene;

The target exposure amount of the image to be acquired for each frame is determined according to the reference exposure amount, the exposure compensation range of the images to be acquired for multiple frames, and a preset exposure compensation mode.

The reference exposure amount refers to a normal exposure amount corresponding to the lightness of the current shooting scene determined according to the lightness of the current shooting scene. The exposure compensation range refers to the range of exposure compensation values corresponding to all the images to be acquired.

In the embodiment of the present application, the preset exposure compensation mode refers to a combination of preset exposure values (EV) for each image to be acquired. In the original definition of the exposure value, the exposure value does not refer to an exact value, but refers to "the combination of all camera apertures and exposure times that can give the same exposure amount." Sensitivity, aperture, and exposure time determine the exposure of the camera. Different parameter combinations can produce equal exposure, that is, the EV values of these different combinations are the same. For example, if the sensitivity is the same, use 1/125. The combination of the exposure time in seconds and the aperture of f11 is the same as that obtained by using the combination of 1/250 second exposure time and f8 shutter, that is, the EV value is the same. When the EV value is 0, it means the exposure amount obtained when the sensitivity is 100, the aperture factor is f1, and the exposure duration is 1 second; the exposure amount is increased by one stop, that is, the exposure duration is doubled, or the sensitivity is doubled, or When the aperture is increased by one stop, the EV value is increased by 1, that is, the exposure amount corresponding to 1EV is twice the exposure amount corresponding to 0EV. As shown in Table 1, the corresponding relationship with the EV value when the exposure duration, aperture, and sensitivity are individually changed.

Table 1

After the photography technology entered the digital age, the metering function inside the camera has become very powerful, and EV is often used to indicate a step difference on the exposure scale. Many cameras allow exposure compensation to be set, which is usually expressed in EV. In this case, EV refers to the difference between the exposure amount corresponding to the camera metering data and the actual exposure amount. For example, + 1EV exposure compensation refers to an increase of one exposure relative to the exposure amount corresponding to the camera metering data, that is, the actual The exposure is twice the exposure corresponding to the camera's metering data.

In the embodiment of the present application, when the exposure compensation mode is preset, the EV value corresponding to the determined reference exposure amount can be preset to 0, and + 1EV means to increase the exposure by one step, that is, the exposure amount is twice the reference exposure amount. + 2EV means to increase the exposure by two stops, that is, the exposure is 4 times the reference exposure, -1EV means to decrease the exposure by one stop, that is, the exposure is 0.5 times the reference exposure, and so on.

It should be noted that, in a possible implementation form of the embodiment of the present application, the illumination threshold of the shooting scene can also be preset, and according to the relationship between the illumination of the current shooting scene and the threshold, the exposure compensation range of multiple frames of images to be acquired is determined. .

It can be understood that when the EV value is negative, the captured image is an underexposed frame, which can suppress the brightness of the highlight area, prevent overexposure of the highlight area, and retain the details of the highlight area; when the EV value is positive, the captured The image is an overexposed frame, which can increase the brightness of the dark area and perform time-domain noise reduction to suppress the noise while improving the details of the dark part. Therefore, if the light level of the current shooting scene is greater than the threshold, that is, the current shooting scene is bright, the corresponding minimum exposure EV level in the multiple frames of images to be collected can be appropriately reduced, or the maximum exposure level can be appropriately reduced to appropriately reduce The exposure compensation range of images to be acquired for multiple frames. For example, the exposure compensation range can be -24EV to 8EV, which reduces the number of images captured in the current shooting scene, thereby increasing the shooting speed. If the light intensity of the current shooting scene is less than the threshold, the current shooting If the scene is dark, the corresponding minimum exposure EV level or maximum exposure EV level in multiple frames of images to be collected can be appropriately increased to ensure that the details in the dark are sufficiently clear. At this time, the exposure compensation of the multiple frames of images to be collected is compensated. The range is large, for example, the exposure compensation range can be -22EV ~ 12EV.

In a possible implementation form in the embodiment of the present application, after the exposure compensation range is determined, a preset exposure compensation mode corresponding to the exposure compensation range can be selected, and then according to the reference exposure amount and the preset exposure compensation mode To determine the target exposure for each frame of image to be acquired.

For example, if the number of images to be acquired is 20 frames, the reference exposure amount determined according to the illumination of the current shooting environment is X, and the exposure compensation range is -24EV to 12EV, the EV value corresponding to the preset exposure compensation mode can be [+ 12, + 12, + 8, + 8, + 4, + 4,0,0, -4, -4, -8, -8, -12, -12, -16, -16, -20, -20, -24, -24]. Then, according to the reference exposure amount X and the preset exposure compensation mode, the target exposure amount corresponding to the image to be acquired for each frame is determined. Assuming that the EV value corresponding to the i-th frame image is EV _i , the corresponding target exposure amount is

For example, the target exposure for the image to be acquired with an EV value of 0 is X, and the target exposure for the image to be acquired with an EV value of +4 is 2 ⁴ · X, and the target exposure for the image to be acquired with an EV value of -4 The amount is 2 ^-4 · X.

Further, for the same exposure compensation range, there may be multiple preset exposure compensation modes. In actual use, an exposure compensation mode consistent with the current situation may be determined according to the real-time situation of the camera module. That is, in a possible implementation form of the embodiment of the present application, before step 101, the method may further include:

Determining the preset exposure compensation mode according to the current shake degree of the camera module.

In the embodiment of the present application, the current jitter degree of the mobile phone, that is, the current jitter degree of the camera module can be determined by acquiring the current gyro sensor information of the electronic device.

Gyroscope is also called angular velocity sensor, which can measure the angular velocity of rotation when the physical quantity is deflected and tilted. In electronic equipment, the gyroscope can measure the movements of rotation and deflection very well, so that it can accurately analyze and judge the actual movement of the user. The gyroscope information (gyro information) of the electronic device may include the movement information of the mobile phone in three dimensions in the three-dimensional space, and the three dimensions of the three-dimensional space may be respectively represented in the three directions of the X-axis, Y-axis, and Z-axis. Among them, The X-axis, Y-axis, and Z-axis are perpendicular to each other.

It should be noted that, in a possible implementation form of the embodiment of the present application, the current jitter degree of the camera module may be determined according to the current gyro information of the electronic device. The greater the absolute value of the gyro movement of the electronic device in the three directions, the greater the degree of jitter of the camera module. Specifically, the absolute value threshold of the gyro movement in the three directions can be preset, and the camera module is determined according to the relationship between the acquired absolute value of the current gyro movement in the three directions and the preset threshold. The current degree of jitter.

For example, suppose the preset thresholds are the first threshold A, the second threshold B, and the third threshold C, and A <B <C. The sum of the absolute values of the gyro motion in the three directions currently obtained is S . If S <A, determine the current jitter of the camera module as “no shake”; if A <S <B, you can determine the current jitter of the camera module as “slight shake”; if B <S <C, Then, it can be determined that the current shake degree of the camera module is "small shake"; if S> C, it can be determined that the current shake degree of the camera module is "large shake".

It should be noted that the above examples are merely exemplary, and should not be regarded as limiting the present application. In actual use, the number of thresholds and specific values of each threshold can be preset according to actual needs, and the mapping relationship between the gyro information and the degree of camera module shake can be preset according to the relationship between the gyro information and each threshold.

It should be noted that, in a possible implementation form of the embodiment of the present application, the number of images to be acquired can also be preset, and then according to the current jitter of the camera module, the preset number of images to be acquired is Among the numbers, the optimal number of images to be acquired is determined. When the number of images to be acquired is different, different exposure compensation modes need to be adopted. Therefore, the mapping relationship between the shake degree of the camera module and the exposure compensation mode can be preset, so as to determine a preset exposure that matches both the current shake degree and the exposure compensation range according to the current shake degree of the camera module. Compensation mode.

For example, if the exposure compensation range is -24EV ~ 12EV, when the camera module shake degree is "no shake", the corresponding exposure compensation mode is: [+ 12EV, + 12EV, + 8EV, + 8EV, + 4EV, + 4EV , 0EV, 0EV, -4EV, -4EV, -8EV, -8EV, -12EV, -12EV, -16EV, -16EV, -20EV, -20EV, -24EV, -24EV]. The number of captured images is 20; when the camera module shake is "slightly shake", the corresponding exposure compensation mode is: [+ 12EV, + 8EV, + 4EV, 0EV, -4EV, -8EV, -12EV, -16EV, -20EV, -24EV], that is, the number of images to be acquired corresponding to "slight jitter" is 10 and so on.

It can be understood that when the degree of camera shake is small, more frames of images can be collected, that is, the number of EV values included in the corresponding exposure compensation mode is larger and is the same as the number of images to be collected, so Makes the final captured image quality higher; when the camera module has a large degree of jitter, it can collect fewer frames of the image to avoid excessively long shooting time and exacerbate the degree of jitter, which causes the captured image to contain irreversible Ghost image, that is, the number of EV values included in the corresponding exposure compensation mode is small and is the same as the number of images to be acquired. Therefore, while ensuring the image exposure compensation range, the jitter of the camera module is minimized so that The final captured image is of higher quality.

Step 102: Determine the exposure duration of the image to be acquired for each frame according to the preset sensitivity and the target exposure amount of the image to be acquired for each frame.

Among them, the exposure time refers to the time that light passes through the lens.

Among them, the sensitivity, also known as the ISO value, is an index that measures the sensitivity of the film to light. For lower-sensitivity negatives, longer exposure times are required to achieve the same imaging as higher-sensitivity negatives. The sensitivity of a digital camera is a kind of index similar to the sensitivity of a film. The ISO of a digital camera can be adjusted by adjusting the sensitivity of the photosensitive device or combining the sensing points, that is, by increasing the light sensitivity of the photosensitive device or Combining several adjacent photosensitive points to improve the ISO. It should be noted that, whether it is digital or negative photography, in order to reduce the exposure time, the use of a relatively high sensitivity will usually introduce more noise, resulting in lower image quality.

In the embodiment of the present application, the sensitivity may be preset in advance, and multiple frames of images to be captured may be collected by using the preset sensitivity. It should be noted that the sensitivity can be preset to a smaller value, thereby effectively suppressing noise in the image and improving the quality of the captured image. For example, you can preset the sensitivity to 100.

Further, multiple different sensitivities can be preset, so that the optimal sensitivities can be dynamically adjusted according to the degree of shake of the camera module. That is, in a possible implementation form of the embodiment of the present application, before step 102, the method may further include:

The preset sensitivity is determined according to the current shaking degree of the camera module.

In a possible implementation form of the embodiment of the present application, when the degree of camera shake is the same, the preset sensitivity determined is also the same, that is, when the degree of camera shake is constant, the sensitivity is a fixed value. .

It can be understood that the sensitivity of the captured image will affect the overall shooting time. If the shooting time is too long, the degree of shake of the camera module may be increased during handheld shooting, which will affect the image quality. Therefore, the preset sensitivity can be determined according to the current shake degree of the camera module, so that the shooting duration is controlled within a proper range.

Specifically, if the current jitter of the camera module is small, a smaller preset sensitivity can be selected to effectively suppress the noise of each frame image and improve the quality of the captured image; if the current jitter of the camera module is large , You can choose a larger preset sensitivity to shorten the shooting time.

For example, if it is determined that the current shake degree of the camera module is "no shake", it may be determined that the current shooting mode may be a tripod. At this time, the reference sensitivity may be determined to a smaller value to obtain higher quality as much as possible. Image, for example, the preset base sensitivity is determined as 100.

It should be noted that the exposure amount is related to the aperture, the exposure duration, and the sensitivity. Among them, the aperture is the clear aperture, which determines the amount of light passing through in a unit time. When the reference sensitivity corresponding to each frame of the image to be collected is the same and the aperture size is the same, the greater the exposure amount corresponding to the light intensity of the current shooting scene, and the greater the exposure time corresponding to the image to be collected per frame.

In the embodiment of the present application, the size of the aperture may be constant, and an image to be collected for each frame is acquired using a determined preset sensitivity. Therefore, after the target exposure amount of the image to be collected is determined for each frame, the exposure time of the image to be collected can be determined according to the preset sensitivity and target exposure amount, and the exposure time of the image to be collected and its target exposure can be determined. The quantity is directly proportional.

In a possible implementation form of the embodiment of the present application, a reference exposure duration may also be determined according to a preset sensitivity and a reference exposure amount, and then each frame to be acquired is determined according to the reference exposure duration and a preset exposure compensation mode. The exposure time of the image. Specifically, assuming that the reference exposure time is T and the EV value of the image to be acquired in the i-th frame is EV _i , then the exposure time of the image to be acquired in the i-th frame is

In step 103, multiple frames of images are sequentially acquired according to the preset sensitivity and the exposure time of each frame of images to be acquired.

Step 104: Perform synthesis processing on the collected multiple frames of images to generate a target image.

In the embodiment of the present application, after determining the exposure time of the image to be collected for each frame, multiple frames of images can be sequentially acquired according to the preset sensitivity and exposure time, and the acquired multiple frames of images are synthesized and processed to Generate a target image.

It should be noted that when synthesizing the collected multiple frames of images, different weights can be set for each frame of image, and each frame of image is combined with the previously collected image to obtain the best effect. The target image, and can reduce the time of compositing processing.

In a possible implementation form of the present application, while collecting multiple frames of images, the brightness information of the collected images may be synthesized, and after all the image collection is completed, non-brightness information of all the collected images Compositing and superimposing the previously combined brightness information to reduce the length of data processing and shorten the shooting time.

The following describes another image processing method provided by an embodiment of the present application with reference to FIG. 2.

FIG. 2 is a schematic flowchart of another image processing method according to an embodiment of the present application.

As shown in FIG. 2, the image processing method includes the following steps:

Step 201: Determine the target exposure of each image to be acquired from the multiple images to be acquired according to the illumination of the current shooting scene.

Step 202: Determine the exposure duration of the image to be acquired for each frame according to the preset sensitivity and the target exposure amount of the image to be acquired for each frame.

For specific implementation processes and principles of steps 201-202, reference may be made to the detailed description of the foregoing embodiments, and details are not described herein again.

Step 203: Collect a first acquisition frame according to the preset sensitivity and exposure time of the first frame to be acquired, and display the first acquisition frame on a preview screen.

Step 204: Collect a second acquisition frame according to the preset sensitivity and the exposure time of the second frame to be acquired.

Step 205: Adjust the brightness information of the first acquisition frame displayed on the preview screen according to the metadata of the second acquisition frame and the metadata of the first acquisition frame.

The metadata refers to the raw data of the image sensor in the camera module converting the captured light source signals into digital signals.

In the embodiment of the present application, after determining the exposure time of the image to be collected in each frame, the images to be collected in each frame may be collected according to the preset sensitivity and the exposure time of the image to be collected in each frame. And while collecting the image, the currently acquired image is synthesized with the brightness information of the metadata of the previously acquired image.

Specifically, after the first acquisition frame is acquired, the first acquisition frame is displayed in a preview screen, and after the second acquisition frame is acquired, the metadata of the first acquisition frame and the brightness in the metadata of the second acquisition frame are extracted. The brightness information of the first collection frame and the brightness information of the second collection frame, and then use the combined brightness information to adjust the brightness information of the first collection frame displayed on the preview screen. Similarly, after the third collection frame is collected, the metadata of the image displayed in the current preview screen and the metadata brightness information of the third collection frame are extracted, and the brightness information of the two is synthesized, and then the synthesized brightness is used. The information again adjusts the brightness information of the image displayed on the preview screen, and so on, until all the images to be collected are collected.

Further, when synthesizing the brightness information of each frame image, different weight values can be set for each frame image according to the current illuminance, so that the visual effect of the captured image is optimal. That is, in a possible implementation form of this embodiment of the present application, the foregoing step 205 may include:

Determining weight values corresponding to the first and second acquisition frames according to the illumination of the current shooting scene, the exposure time of the first acquisition frame, and the exposure time of the second acquisition frame;

Determining the second acquisition frame and the second acquisition frame according to weight values corresponding to the first acquisition frame and the second acquisition frame, and metadata of the first acquisition frame and metadata of the second acquisition frame, respectively. The brightness information after the first collection frame is synthesized;

The brightness information of the first acquisition frame displayed on the preview screen is adjusted by using the synthesized brightness information.

It should be noted that, in the embodiment of the present application, the weight value corresponding to the image to be acquired in each frame may be determined according to the illumination intensity of the current shooting scene and the exposure compensation mode of the image to be acquired in each frame to perform brightness information of the image to be acquired in each frame. Synthesis. The exposure compensation mode of the image to be collected can be determined according to its corresponding exposure duration, that is, the longer the exposure duration is, the larger the EV level is. Therefore, in a possible implementation form of the embodiment of the present application, the weight values corresponding to the images to be collected in each frame may be determined according to the illumination of the current shooting scene and the exposure time of the images to be collected in each frame.

Specifically, if the light intensity corresponding to the current shooting scene is small, the weight value corresponding to the image to be acquired with a longer exposure duration may be determined as a larger value, and the weight value corresponding to the image to be acquired with a shorter exposure duration may be determined as Smaller values to improve the overall brightness and dark area details of the image; if the light intensity corresponding to the current shooting scene is large, the weight value corresponding to the image to be acquired with a longer exposure time can be determined as a smaller value, and the exposure will be The weight value corresponding to the shorter time-to-be-acquired image is determined to be a larger value to prevent overexposure of the highlight areas while improving the details of the dark areas.

It should be noted that when determining the weight value corresponding to the image to be collected in each frame according to the exposure time of the image to be collected in each frame according to the illumination of the current shooting scene, it is also necessary to ensure that the range of brightness information after final synthesis is in the range of 0-255 To determine the constraint relationship between the weight values.

It can be understood that after determining the weight value corresponding to each frame of the image to be collected, the brightness information of the metadata of the currently acquired image can be synthesized with the brightness information of the image displayed on the preview screen according to the weight value in real time. That is, using the synthesized brightness information, the brightness information of the image displayed on the preview screen is adjusted until all the images to be collected are collected and the brightness information is synthesized.

In step 206, the non-brightness information in the collected metadata of the multi-frame images is synthesized to generate an initial target image.

Step 207: Update the brightness information of the initial target image according to the brightness information of the image currently displayed on the preview screen to generate the target image.

In the embodiment of the present application, after the collection of multiple frames of images to be collected is completed, the non-brightness information in the metadata of the collected multiple frames of images can be synthesized to generate an initial target image, and then based on the currently displayed preview image, The brightness information of the image updates the brightness of the initial target image to generate a target image.

According to the image processing method provided in the embodiment of the present application, the target exposure amount of each frame of the to-be-collected image and the weight value corresponding to each frame of the to-be-collected image may be determined according to the illumination of the current shooting scene, and according to a preset Sensitivity and the target exposure of each frame of images to be acquired, determine the exposure time of each frame of images to be acquired, and then according to the preset sensitivity and exposure time of each frame of images to be acquired, sequentially collect multiple frames of images and use the weight value The brightness information of the captured image is synthesized in real time, and then the non-brightness information in the metadata of the collected multiple frames of images is synthesized to generate the initial target image, and according to the brightness information of the image currently displayed on the preview screen, Update the brightness information of the initial target image to generate a target image. Therefore, the exposure duration and weight value of each frame of the image to be collected are determined according to the illumination of the current shooting scene and the preset sensitivity, so that multiple images of different exposure durations are captured and multiple frames of images are synthesized in real time according to the weight value The brightness information and the non-brightness information of the multi-frame image are synthesized later, which not only further improves the quality of the captured image, but also reduces the data processing time, shortens the shooting time, and improves the user experience.

In a possible implementation form of the present application, before shooting, first determine whether the current shooting scene is a night scene according to the information in the preview screen, and then determine the current night scene mode that needs to be enabled according to the current jitter of the camera module. To make the best visual effect of the night scene image.

The following describes another image processing method provided by an embodiment of the present application with reference to FIG. 3.

FIG. 3 is a schematic flowchart of another image processing method according to an embodiment of the present application.

As shown in FIG. 3, the image processing method includes the following steps:

Step 301: Determine, according to the screen content of the current preview screen, that the current shooting scene belongs to a night scene.

In the embodiment of the present application, artificial intelligence (AI) technology can be used to determine whether the current shooting scene belongs to a night scene according to the brightness information in the screen content of the current preview screen. Specifically, it can be determined whether the current shooting scene belongs to a night scene according to the average brightness information of the preview screen content and the brightness difference values of different regions in the screen.

It should be noted that, in a possible implementation form of the embodiment of the present application, a fourth threshold value of the average brightness of the preview screen content and a fifth threshold value of the brightness difference value may be preset, and according to the average brightness of the current preview screen content The relationship with the fourth threshold, and the relationship between the brightness difference between different regions in the frame and the fifth threshold determine whether the current shooting scene belongs to a night scene.

It can be understood that in a night scene, the overall brightness of the picture is usually low, and in a night scene with a light source, the area near the light source will form a high-brightness area with greater brightness; while the area far from the light source will form In a dark area, the brightness is small, so that in a night scene with a light source, the brightness difference between different areas of the picture is large. Correspondingly, in non-night scenes, the overall brightness of the picture is usually high, and the brightness distribution is uniform, and no obvious high and dark areas are formed, that is, the brightness difference between different areas is small. Therefore, in a possible implementation form of the embodiment of the present application, if the average brightness of the picture content of the current preview picture is less than the fourth threshold, or the brightness difference between different regions is greater than the fifth threshold, the current shooting scene may be determined. Belongs to night scenes.

It should be noted that the fourth threshold of the average brightness of the preview screen and the fifth threshold of the brightness difference between different regions may be preset according to actual needs or experience, which is not limited in the embodiment of the present application.

Step 302: Determine a night scene mode corresponding to the current shooting scene according to the degree of shaking of the camera module.

The night scene mode refers to a shooting mode that can be activated when the current shooting scene is determined to be a night scene. Specifically, the night scene mode includes a combination of various shooting parameters, such as sensitivity, exposure duration, exposure compensation mode, frame number of the captured image, and the like.

It should be noted that the degree of shake of the camera module will affect the quality of the captured image. When the degree of shake of the camera module is too large, the captured image will contain obvious ghosts and it will be difficult to eliminate. In addition, if the shooting time is too long, the degree of camera shake will increase during handheld shooting, which will affect the image quality. Therefore, in the embodiment of the present application, the night scene mode corresponding to the current shooting scene may be determined according to the current shaking degree of the camera module, so that the shooting duration is controlled within a proper range.

Specifically, if the current shake level of the camera module is "no shake", it can be determined that the night scene mode corresponding to the current shooting scene is "tripod night mode"; if the current shake level of the camera module is "with shake", then It can be determined that the night scene mode corresponding to the current shooting scene is "handheld night scene mode".

Step 303: Determine a target exposure amount of each frame of the to-be-acquired image in the plurality of frames of the to-be-acquired image according to the night scene mode and the illumination of the current shooting scene.

Step 304: Determine the exposure duration of each frame of the to-be-acquired image according to the night scene mode and the target exposure amount of each frame of the to-be-acquired image, and sequentially collect multiple frames of images and perform synthesis processing based on the night-scape mode and the exposure time. .

In the embodiment of the present application, after the night scene mode corresponding to the current shooting scene is determined, the image to be acquired per frame can be determined according to the parameter settings (sensitivity, exposure compensation mode, etc.) in the night scene mode and the light intensity of the current shooting scene. The target exposure amount and exposure duration are based on the parameter settings in the night scene mode and the exposure duration, and multiple frames of images are sequentially acquired and synthesized.

For example, if it is determined that the night scene mode corresponding to the current shooting scene is a "tripod night scene mode", the image processing method provided in the embodiment of the present application can be used to determine the target exposure amount and exposure time of each frame of images to be acquired, and according to this The image processing method provided in the embodiment of the application synthesizes acquired multiple frames of images. If it is determined that the night scene mode corresponding to the current shooting scene is "handheld night scene mode", multiple frames of images can be collected and synthesized according to the parameter settings in the night scene mode.

According to the image processing method provided in the embodiment of the present application, the current shooting scene is determined to be a night scene according to the screen content of the current preview screen, and the night mode corresponding to the current shooting scene is determined according to the degree of shake of the camera module. The night scene mode and lighting level corresponding to the shooting scene determine the target exposure of the image to be collected for each frame. By enabling different shooting modes according to different scenes, not only the quality of the night scene shooting image is improved, but also the complexity of shooting non-night scene scenes is reduced. Performance, improve shooting efficiency, and improve user experience.

In order to implement the above embodiments, the present application also proposes an image processing apparatus.

FIG. 4 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present application.

As shown in FIG. 4, the image processing apparatus 40 includes:

A first determining module 41, configured to determine a target exposure amount of each of the frames of images to be collected in the plurality of frames of images to be collected according to the illumination of the current shooting scene;

The second determining module 42 is configured to determine an exposure duration of the image to be acquired for each frame according to a preset sensitivity and the target exposure amount of the image to be acquired for each frame;

An acquisition module 43 configured to sequentially acquire multiple frames of images according to the preset sensitivity and exposure time of each frame of images to be acquired;

A synthesis module 44 is configured to perform synthesis processing on the collected multiple frames of images to generate a target image.

In actual use, the image processing apparatus provided in the embodiment of the present application may be configured in any electronic device to execute the foregoing image processing method.

The image processing device provided in the embodiment of the present application may determine the target exposure amount of each frame of the to-be-acquired image in the multiple frames of the to-be-acquired image according to the illumination of the current shooting scene, and according to the preset sensitivity and the target of the to-be-acquired image per frame The amount of exposure determines the exposure time of the image to be collected for each frame, and then according to the preset sensitivity and the exposure time of the image to be collected for each frame, multiple frames of images are sequentially collected and synthesized to generate a target image. Therefore, the exposure time of each frame to be acquired is determined according to the illumination of the current shooting scene and the preset sensitivity, so that multiple images with different exposure durations are captured and synthesized, which not only improves the dynamic range of the captured images And overall brightness, and effectively suppress the noise in the captured image, so that the bright and dark areas can be clearly displayed, which improves the quality of the captured image and improves the user experience.

In a possible implementation form of the present application, the image processing apparatus 40 further includes:

The third determining module is configured to determine the preset sensitivity according to a current shaking degree of the camera module.

Further, in another possible implementation form of the present application, the image processing apparatus 40 further includes:

A fourth determining module is configured to determine the preset exposure compensation mode according to a current shaking degree of the camera module. Further, in another possible implementation form of the present application, the image processing apparatus 40 further includes:

A fifth determining module, configured to determine that the current shooting scene belongs to a night scene according to the picture content of the current preview picture;

A sixth determining module, configured to determine a night scene mode corresponding to the current shooting scene according to the degree of shaking of the camera module;

Accordingly, the first determining module 41 is further configured to:

According to the night scene mode and the illuminance of the current shooting scene, a target exposure amount of each frame of the to-be-acquired image in the plurality of frames of the to-be-acquired image is determined.

In a possible implementation form of the present application, the foregoing first determining module 41 is specifically configured to:

In a possible implementation form of the present application, the foregoing second determining module 42 is specifically configured to:

Determining a reference exposure duration according to the preset sensitivity and the reference exposure amount;

Determining the exposure duration of the image to be acquired for each frame according to the reference exposure duration and the preset exposure compensation mode.

In a possible implementation form of the present application, the foregoing acquisition module 43 is specifically configured to:

Collecting the first collection frame according to the preset sensitivity and the exposure time of the image to be collected in the first frame, and displaying the first collection frame in a preview screen;

Acquiring a second acquisition frame according to the preset sensitivity and the exposure time of the second frame to be acquired;

Adjusting the brightness information of the first acquisition frame displayed on the preview screen according to the metadata of the second acquisition frame and the metadata of the first acquisition frame.

Further, in another possible implementation form of the present application, the above-mentioned acquisition module 43 is further configured to:

In a possible implementation form of the present application, the above-mentioned synthesis module 44 is specifically configured to:

Synthesize non-brightness information in the collected metadata of multiple frames of images to generate an initial target image;

Update the brightness information of the initial target image according to the brightness information of the image currently displayed on the preview screen to generate the target image.

It should be noted that the foregoing explanation of the embodiment of the image processing method shown in FIG. 1, FIG. 2, and FIG. 3 is also applicable to the image processing apparatus 40 of this embodiment, and details are not described herein again.

The image processing device provided in the embodiment of the present application may determine the target exposure amount of each frame of the to-be-collected image and the weight value corresponding to each frame of the to-be-collected image according to the illumination of the current shooting scene, and according to a preset Sensitivity and the target exposure of each frame of images to be acquired, determine the exposure time of each frame of images to be acquired, and then according to the preset sensitivity and exposure time of each frame of images to be acquired, sequentially collect multiple frames of images and use the weight value The brightness information of the captured image is synthesized in real time, and then the non-brightness information in the metadata of the collected multiple frames of images is synthesized to generate the initial target image, and according to the brightness information of the image currently displayed on the preview screen, Update the brightness information of the initial target image to generate a target image. Therefore, the exposure duration and weight value of each frame of the image to be collected are determined according to the illumination of the current shooting scene and the preset sensitivity, so that multiple images of different exposure durations are captured and multiple frames of images are synthesized in real time according to the weight value The brightness information and the non-brightness information of the multi-frame image are synthesized later, which not only further improves the quality of the captured image, but also reduces the data processing time, shortens the shooting time, and improves the user experience.

In order to implement the above embodiments, the present application also proposes an electronic device.

FIG. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

As shown in FIG. 5, the above-mentioned electronic device 200 includes a camera module 201, a memory 210, a processor 220, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements The scene recognition method described in the embodiment of the present application.

As shown in FIG. 6, the electronic device 200 provided in the embodiment of the present application may further include:

The memory 210 and the processor 220 are connected to a bus 230 of different components (including the memory 210 and the processor 220). The memory 210 stores a computer program. When the processor 220 executes the program, the image processing method according to the embodiment of the present application is implemented. .

The bus 230 represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local area bus using any of a variety of bus structures. By way of example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the enhanced ISA bus, the Video Electronics Standards Association (VESA) local area bus, and peripheral component interconnects ( PCI) bus.

The electronic device 200 typically includes a variety of electronic device readable media. These media can be any available media that can be accessed by the electronic device 200, including volatile and non-volatile media, removable and non-removable media.

The memory 210 may also include computer system readable media in the form of volatile memory, such as random access memory (RAM) 240 and / or cache memory 250. The electronic device 200 may further include other removable / non-removable, volatile / nonvolatile computer system storage media. For example only, the storage system 260 may be used to read and write non-removable, non-volatile magnetic media (not shown in FIG. 5 and is commonly referred to as a "hard drive"). Although not shown in FIG. 5, a disk drive for reading and writing to a removable non-volatile disk (such as a "floppy disk"), and a removable non-volatile optical disk (such as a CD-ROM, DVD-ROM, etc.) may be provided. Or other optical media). In these cases, each drive may be connected to the bus 230 through one or more data medium interfaces. The memory 210 may include at least one program product having a set (for example, at least one) of program modules configured to perform the functions of the embodiments of the present application.

A program / utility tool 280 having a set (at least one) of program modules 270 may be stored in, for example, the memory 210. Such program modules 270 include, but are not limited to, an operating system, one or more applications, other programs Modules and program data, each or some combination of these examples may include an implementation of a network environment. Program module 270 typically performs the functions and / or methods in the embodiments described herein.

The electronic device 200 may also communicate with one or more external devices 290 (such as a keyboard, pointing device, display 291, etc.), and may also communicate with one or more devices that enable a user to interact with the electronic device 200, and / or with Any device (such as a network card, modem, etc.) that enables the electronic device 200 to communicate with one or more other computing devices. This communication can be performed through an input / output (I / O) interface 292. Moreover, the electronic device 200 may also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 293. As shown, the network adapter 293 communicates with other modules of the electronic device 200 through the bus 230. It should be understood that although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 200, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives And data backup storage systems.

The processor 220 executes various functional applications and data processing by running a program stored in the memory 210.

It should be noted that, for the implementation process and technical principle of the electronic device in this embodiment, refer to the foregoing description of the image processing method in the embodiment of the present application, and details are not described herein again.

The electronic device provided by the embodiment of the present application can execute the image processing method as described above. In the night scene shooting mode, the current jitter level of the camera module is detected, and the number of images to be acquired and the The reference sensitivity corresponding to the frame to be acquired, and then based on the illumination of the current shooting scene and the reference sensitivity corresponding to each frame of the to-be-acquired image, determine the exposure duration corresponding to each frame of the to-be-acquired image, and then according to the reference corresponding to each frame of the to-be-acquired image Sensitivity and exposure time, multiple frames of images are collected in sequence, and the collected multiple frames of images are synthesized to generate a target image. Therefore, the number of images to be acquired and the reference sensitivity are determined according to the current jitter of the camera module, and the exposure time corresponding to each frame of the image to be acquired is determined according to the illumination of the current shooting scene, so that multiple different photos are taken by shooting Combining images with long exposure time not only improves the dynamic range and overall brightness of the captured image in night scene shooting mode, effectively suppresses noise in the captured image, but also suppresses ghosting and blurring caused by hand-held shake, which improves the night shot image. Quality and improved user experience.

In order to implement the above embodiments, the present application also proposes a computer-readable storage medium.

The computer-readable storage medium stores a computer program thereon, and when the program is executed by a processor, the image processing method according to the embodiment of the present application is implemented.

In order to implement the above-mentioned embodiment, another embodiment of the present application provides a computer program, which is executed by a processor to implement the image processing method described in the embodiment of the present application.

In an optional implementation form, this embodiment may use any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), Erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing. In this document, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in combination with an instruction execution system, apparatus, or device.

The computer-readable signal medium may include a data signal in baseband or propagated as part of a carrier wave, which carries a computer-readable program code. This propagated data signal can take many forms, including but not limited to, electromagnetic signals, optical signals, or any suitable combination of the foregoing. The computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device .

Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for performing the operations of this application may be written in one or more programming languages, or a combination thereof, including programming languages such as Java, Smalltalk, C ++, and also conventional Procedural programming language—such as "C" or similar programming language. The program code may be executed entirely on the user electronic device, partly on the user electronic device, as a separate software package, partly on the user electronic device, partly on the remote electronic device, or entirely on the remote electronic device or On the server. In the case of a remote electronic device, the remote electronic device can be connected to the user's electronic device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external electronic device (e.g., using Internet services) Provider to connect via the Internet).

Those skilled in the art will readily think of other embodiments of the present application after considering the specification and practicing the invention applied herein. This application is intended to cover any variations, uses, or adaptations of this application. These variations, uses, or adaptations follow the general principles of this application and include common general knowledge or conventional technical means in the technical field that have not been invented by this application. . It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It should be understood that the present application is not limited to the precise structure that has been described above and shown in the drawings, and various modifications and changes can be made without departing from the scope thereof. The scope of the application is limited only by the accompanying claims.

Claims

An image processing method, comprising:

Determine the target exposure of each frame of the to-be-acquired image in the multiple frames of the to-be-acquired image according to the illumination of the current shooting scene;

Determining the exposure duration of the image to be acquired for each frame according to the preset sensitivity and the target exposure amount of the image to be acquired for each frame;

Collecting multiple frames of images in sequence according to the preset sensitivity and exposure time of each frame of images to be collected;

The acquired multiple frames of images are synthesized to generate a target image.
The method according to claim 1, wherein before determining the exposure duration of each frame of images to be acquired, further comprising:

The preset sensitivity is determined according to the current shaking degree of the camera module.
The method according to claim 1 or 2, wherein determining the target exposure amount of each of the images to be acquired from the plurality of frames of images to be acquired according to the illumination of the current shooting scene comprises:

Determining a reference exposure amount and an exposure compensation range of multiple frames of images to be acquired according to the illumination of the current shooting scene;

The target exposure amount of the image to be acquired for each frame is determined according to the reference exposure amount, the exposure compensation range of the images to be acquired for multiple frames, and a preset exposure compensation mode.
The method according to claim 3, wherein the determining the exposure duration of each frame of images to be acquired comprises:

Determining a reference exposure duration according to the preset sensitivity and the reference exposure amount;

Determining the exposure duration of the image to be acquired for each frame according to the reference exposure duration and the preset exposure compensation mode.
The method according to claim 3 or 4, wherein before the determining the target exposure amount of each frame of the to-be-collected image in the plurality of frames of the to-be-collected image, further comprising:

Determining the preset exposure compensation mode according to the current shake degree of the camera module.
The method according to any one of claims 1 to 5, wherein the sequentially acquiring multiple frames of images according to the preset sensitivity and exposure time of each frame of images to be acquired comprises:

Collecting the first collection frame according to the preset sensitivity and the exposure time of the image to be collected in the first frame, and displaying the first collection frame in a preview screen;

Acquiring a second acquisition frame according to the preset sensitivity and the exposure time of the second frame to be acquired;

Adjusting the brightness information of the first acquisition frame displayed on the preview screen according to the metadata of the second acquisition frame and the metadata of the first acquisition frame.
The method according to claim 6, wherein the brightness information of the first acquisition frame displayed on the preview screen is adjusted according to the metadata of the second acquisition frame and the metadata of the first acquisition frame. ,include:

Determining the weight values corresponding to the first acquisition frame and the second acquisition frame respectively according to the illumination of the current shooting scene, the exposure time of the first acquisition frame, and the exposure time of the second acquisition frame;

Determining the second acquisition frame and the second acquisition frame according to weight values corresponding to the first acquisition frame and the second acquisition frame, and metadata of the first acquisition frame and metadata of the second acquisition frame, respectively. The brightness information after the first collection frame is synthesized;

The brightness information of the first acquisition frame displayed on the preview screen is adjusted by using the synthesized brightness information.
The method according to claim 6 or 7, wherein the performing a synthesis process on the acquired multiple frames of images to generate a target image comprises:

Synthesize non-brightness information in the collected metadata of multiple frames of images to generate an initial target image;

Update the brightness information of the initial target image according to the brightness information of the image currently displayed on the preview screen to generate the target image.
The method according to any one of claims 1 to 8, wherein before determining the target exposure of each of the images to be acquired in the multiple frames of images to be acquired according to the illumination of the current shooting scene, further comprising:

Determine that the current shooting scene belongs to a night scene according to the picture content of the current preview picture;

Determine the night scene mode corresponding to the current shooting scene according to the degree of shaking of the camera module;

The determining the target exposure amount of each frame of the to-be-acquired image in the plurality of frames of the to-be-acquired image includes:

According to the night scene mode and the illuminance of the current shooting scene, a target exposure amount of each frame of the to-be-acquired image in the plurality of frames of the to-be-acquired image is determined.
An image processing device, comprising:

A first determining module, configured to determine a target exposure amount of each to-be-collected image in a plurality of frames of to-be-collected images according to the illumination of the current shooting scene;

A second determining module, configured to determine an exposure duration of the image to be acquired for each frame according to a preset sensitivity and the target exposure amount of the image to be acquired for each frame;

An acquisition module, configured to sequentially acquire multiple frames of images according to the preset sensitivity and exposure time of each frame of images to be acquired;

A synthesis module is configured to synthesize the collected multiple frames of images to generate a target image.
The apparatus according to claim 10, further comprising:

The third determining module is configured to determine the preset sensitivity according to a current shaking degree of the camera module.
The apparatus according to claim 10 or 11, wherein the first determining module is specifically configured to:

Determining a reference exposure amount and an exposure compensation range of multiple frames of images to be acquired according to the illumination of the current shooting scene;

The target exposure amount of the image to be acquired for each frame is determined according to the reference exposure amount, the exposure compensation range of the images to be acquired for multiple frames, and a preset exposure compensation mode.
The apparatus according to claim 12, wherein the second determining module is specifically configured to:

Determining a reference exposure duration according to the preset sensitivity and the reference exposure amount;

Determining the exposure duration of the image to be acquired for each frame according to the reference exposure duration and the preset exposure compensation mode.
The device according to claim 12 or 13, further comprising:

A fourth determining module is configured to determine the preset exposure compensation mode according to a current shaking degree of the camera module.
The device according to any one of claims 10 to 14, wherein the acquisition module is specifically configured to:

Collecting the first collection frame according to the preset sensitivity and the exposure time of the image to be collected in the first frame, and displaying the first collection frame in a preview screen;

Acquiring a second acquisition frame according to the preset sensitivity and the exposure time of the second frame to be acquired;

Adjusting the brightness information of the first acquisition frame displayed on the preview screen according to the metadata of the second acquisition frame and the metadata of the first acquisition frame.
The apparatus according to claim 15, wherein the acquisition module is further configured to:

Determining weight values corresponding to the first and second acquisition frames according to the illumination of the current shooting scene, the exposure time of the first acquisition frame, and the exposure time of the second acquisition frame;

Determining the second acquisition frame and the second acquisition frame according to weight values corresponding to the first acquisition frame and the second acquisition frame, and metadata of the first acquisition frame and metadata of the second acquisition frame, respectively. The brightness information after the first collection frame is synthesized;

The brightness information of the first acquisition frame displayed on the preview screen is adjusted by using the synthesized brightness information.
The device according to claim 15 or 16, wherein the synthesis module is specifically configured to:

Synthesize non-brightness information in the collected metadata of multiple frames of images to generate an initial target image;

Update the brightness information of the initial target image according to the brightness information of the image currently displayed on the preview screen to generate the target image.
The device according to any one of claims 10-17, further comprising:

A fifth determining module, configured to determine that the current shooting scene belongs to a night scene according to the picture content of the current preview picture;

A sixth determining module, configured to determine a night scene mode corresponding to the current shooting scene according to the degree of shaking of the camera module;

Accordingly, the first determining module is further configured to:

According to the night scene mode and the illuminance of the current shooting scene, a target exposure amount of each frame of the to-be-acquired image in the plurality of frames of the to-be-acquired image is determined.
An electronic device, comprising: the photographing module, a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, the implementation is as follows: The image processing method according to any one of claims 1-9.
A computer-readable storage medium having stored thereon a computer program, characterized in that when the program is executed by a processor, the image processing method according to any one of claims 1-9 is implemented.