CN106412534A - Method and device for adjusting image brightness - Google Patents
Method and device for adjusting image brightness Download PDFInfo
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- CN106412534A CN106412534A CN201610956655.5A CN201610956655A CN106412534A CN 106412534 A CN106412534 A CN 106412534A CN 201610956655 A CN201610956655 A CN 201610956655A CN 106412534 A CN106412534 A CN 106412534A
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000011218 segmentation Effects 0.000 claims abstract description 24
- 238000010606 normalization Methods 0.000 claims abstract description 10
- 230000004927 fusion Effects 0.000 claims description 9
- 238000012360 testing method Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
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- 230000007717 exclusion Effects 0.000 description 1
- 238000007499 fusion processing Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000005457 optimization Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
- H04N23/13—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths with multiple sensors
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/265—Mixing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/77—Circuits for processing the brightness signal and the chrominance signal relative to each other, e.g. adjusting the phase of the brightness signal relative to the colour signal, correcting differential gain or differential phase
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Abstract
The invention discloses a method and device for adjusting the brightness of an image. The method comprises: a black-and-white image and a color image in the same scene are obtained by using a black-and-white camera and a color camera; whether the color image is exposed excessively is determined; if not, region segmentation is carried out on the black-and-white image; the black-and-white image is processed by normalization and regions, obtained by region segmentation, of the black-and-white image are merged into a plurality of regional layers; the regional layers are divided into a bright region and a dark region; a sum of brightness differences between all regional layers in the dark region and corresponding regions in the color image is calculated to obtain a dark region brightness difference value, a sum of brightness differences between all regional layers in the bright region and corresponding regions in the color image is calculated to obtain a bright region brightness difference value; according to the dark region brightness difference value and the dark region brightness difference value, the brightness of the black-and-white image is adjusted; and the black-and-white image after brightness adjustment is fused with the color image. According to the invention, with brightness adjustment of the black-and-white image, a problem of color deviation of the fused image is solved.
Description
Technical field
The present invention relates to technical field of image processing, more particularly to a kind of brightness of image control method and device.
Background technology
With the fast development of mobile phone camera function in recent years, consumer is to the camera demand having more power gradually
Rise.The photographed scene that night scene is commonly used as user, its effect optimization, can effectively lift the Consumer's Experience that camera is taken pictures.
Night scene shooting style commonly used in the trade at present is：Using a colour imagery shot（RGB）With a black and white camera（MONO）Point
Do not taken pictures, the image being shot by merging this two cameras lifts Night Scenery Effect.
When taking pictures, the brightness of black and white camera, details, noise can be better than colour imagery shot, therefore in fusion process, makes
There is provided color with colour imagery shot, black and white form and aspect head provides brightness, details etc., thus synthesizing a brightness, details and noise all
The good result images than colour imagery shot original image.But because colored and black and white camera light-metering or exposure parameter do not adjust
Good etc the reason, it is easy to occur colored excessive with black white image luminance difference, leads to fused images to occur than more serious
Colour cast, affects subjective effect.
Content of the invention
It is an object of the invention to overcoming the deficiencies in the prior art, providing a kind of brightness of image control method and device, leading to
Overregulate the brightness of black white image so that the brightness of black white image is close toward the brightness of coloured image, thus solving fusion figure
Problem as color colour cast.
The purpose of the present invention is achieved through the following technical solutions：A kind of brightness of image control method, including：
By black and white and color camera, obtain the black and white under Same Scene and coloured image；
Judge described coloured image whether overexposure：If described coloured image does not have overexposure, to described black white image
Carry out region segmentation；
Described black white image is normalized, and described black white image is carried out region that region segmentation obtains according to bright
Degree merges into multiple area level；
The plurality of area level is divided into clear zone and dark space；
Calculate each area level and the luminance difference sum of corresponding region in described coloured image in described dark space, obtain dark space luminance difference
Different value, and calculate each area level and the luminance difference sum of corresponding region in described coloured image in described clear zone, obtain clear zone
Luminance difference value；
Adjust the brightness of described black white image according to described dark space luminance difference value and clear zone luminance difference value；
Merged carrying out the black white image after brightness regulation with described coloured image.
If described coloured image overexposure, return described coloured image, and point out Fusion failure.
The determination methods of described coloured image whether overexposure are：
Described coloured image is converted to yuv format and obtains the first intermediate image；
Setting brightness overexposure threshold value；
Count brightness in the luminance channel of the first intermediate image and exceed the pixel of described brightness overexposure threshold value and account for the ratio of total pixel,
If this ratio is more than setting value then it is assumed that described coloured image overexposure.
Described black white image is carried out adopt during region segmentation with Segment algorithm.
The acquisition methods of described area level are：
Described black white image is normalized；
Black white image after normalization is equally divided into multiple brightness layers；
Multiple area level are merged into according to described brightness layer in the region obtaining after described black white image region segmentation.
The division methods of described clear zone and dark space are：The plurality of area level is equally divided into two parts, a portion
For clear zone, another part is dark space.
The brightness adjusting method of described black white image is：
y1(x) = 5 * x *exp（-14*x）
f(x) = x+LL * y1(x) - LH * y1(1-x)
In formula, x is the brightness value of each pixel of black white image after normalization, and the black white image after f (x) is brightness regulation is each
The brightness value of pixel, LL- dark space luminance difference value, LH- clear zone luminance difference value.
A kind of brightness of image adjusting means, including：
Photographing module, by black and white and color camera, obtains the black and white under Same Scene and coloured image；
Exposure tests module, judges described coloured image whether overexposure：If described coloured image does not have overexposure, right
Described black white image carries out region segmentation；
Region segmentation module, described black white image is normalized, and described black white image is carried out region segmentation obtains
To region multiple area level are merged into according to brightness, the plurality of area level is divided into clear zone and dark space；
Luminance difference computing module, calculate corresponding region in each area level and described coloured image in described dark space luminance difference it
With, obtain dark space luminance difference value, and calculate each area level in described clear zone with described coloured image corresponding region bright
Degree difference sum, obtains clear zone luminance difference value；
Luminance adjustment module, adjusts the bright of described black white image according to described dark space luminance difference value and clear zone luminance difference value
Degree；
Fusion Module, is merged carrying out the black white image after brightness regulation with described coloured image.
The determination methods of described coloured image whether overexposure are：
Described coloured image is converted to yuv format and obtains the first intermediate image；
Setting brightness overexposure threshold value；
Count brightness in the luminance channel of the first intermediate image and exceed the pixel of described brightness overexposure threshold value and account for the ratio of total pixel,
If this ratio is more than setting value then it is assumed that described coloured image overexposure.
The brightness adjusting method of described black white image is：
y1(x) = 5 * x *exp（-14*x）
f(x) = x+LL * y1(x) - LH * y1(1-x)
In formula, x is the brightness value of each pixel of black white image after normalization, and the black white image after f (x) is brightness regulation is each
The brightness value of pixel, LL- dark space luminance difference value, LH- clear zone luminance difference value.
The invention has the beneficial effects as follows：The present invention on the basis of the brightness of coloured image, in the case of not affecting details,
The brightness of black white image is close toward the brightness of coloured image, thus solving the problems, such as fused images colour cast.
Brief description
Fig. 1 is the flow chart of an embodiment of brightness of image control method in the present invention；
Fig. 2 is the flow chart of sense colors image whether overexposure in the present invention；
Fig. 3 is the schematic diagram of an embodiment of brightness of image adjusting means in the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings technical scheme is described in further detail, but protection scope of the present invention is not limited to
Described below.
As shown in figure 1, a kind of brightness of image control method, comprise the following steps：
Step one, pass through black and white and color camera, obtain Same Scene under black and white and coloured image.
Step 2, judge described coloured image whether overexposure：If described coloured image does not have overexposure, to institute
State black white image and carry out region segmentation；Otherwise return described coloured image, and point out Fusion failure.
Described black white image carries out adopting Segment algorithm during region segmentation, and other enable the calculation of identical function
Method.
As shown in Fig. 2 the determination methods of described coloured image whether overexposure are：
Described coloured image is converted to yuv format and obtains the first intermediate image；
Setting brightness overexposure threshold value, for example, be set to 250 by brightness overexposure threshold value；
Count brightness in the luminance channel of the first intermediate image and exceed the pixel of described brightness overexposure threshold value and account for the ratio of total pixel,
If this ratio is more than setting value then it is assumed that described coloured image overexposure, for example, arranges value is set to 15%.
Whether coloured image in the detection process of overexposure, first can be converted to yuv format by coloured image, then carry out
The setting of brightness overexposure threshold value；The setting of brightness overexposure threshold value can also first be carried out, then coloured image is converted to yuv format；
It is also possible that coloured image is converted to yuv format carry out with the setting carrying out brightness overexposure threshold value simultaneously.
Step 3, described black white image is normalized, and described black white image is carried out region segmentation and obtain
Region multiple area level are merged into according to brightness.
The acquisition methods of described area level are：
Described black white image is normalized；
Black white image after normalization is equally divided into multiple brightness layers；
Multiple area level are merged into according to described brightness layer in the region obtaining after described black white image region segmentation.
For example, described black white image is normalized to（0,1）In, with every 0.1 black white image is divided into for boundary simultaneously
10 layers, the region being located at same brightness layer in the region that then will obtain after described black white image region segmentation merges, and obtains
To 10 area level.
Step 4, the plurality of area level is divided into clear zone and dark space.
The division methods of described clear zone and dark space are：The plurality of area level is equally divided into two parts, a portion
For clear zone, another part is dark space.
For example, 10 area level above are divided into clear zone and dark space with 0.5 for boundary.
In step 5, the described dark space of calculating, each area level and the luminance difference sum of corresponding region in described coloured image, obtain
To dark space luminance difference value, and calculate each area level and corresponding region in described coloured image in described clear zone luminance difference it
With obtain clear zone luminance difference value.
For example, taking dark space as a example,（0.0,0.1）In this area level, the mean flow rate of black white image is 0.05, and color
The mean flow rate of color image is 0.08, then the luminance difference value obtaining ground floor is 0.03, continues cumulative（0.1,0.2）This layer
In the luminance difference value of the black coloured image of black white image, until having added up（0.4,0.5）Luminance difference value this time, obtains dark
Area's luminance difference value.
Step 6, the brightness according to described dark space luminance difference value and the clear zone luminance difference value described black white image of regulation.
The brightness adjusting method of described black white image is：
y1(x) = 5 * x *exp（-14*x）
f(x) = x+LL * y1(x) - LH * y1(1-x)
In formula, x is the brightness value of each pixel of black white image after normalization, and the black white image after f (x) is brightness regulation is each
The brightness value of pixel, LL- dark space luminance difference value, LH- clear zone luminance difference value.
Step 7, merged carrying out the black white image after brightness regulation with described coloured image.
As shown in figure 3, a kind of brightness of image adjusting means, including photographing module, exposure tests module, region segmentation mould
Block, luminance difference computing module, luminance adjustment module and Fusion Module.
Described photographing module, by black and white and color camera, obtains the black and white under Same Scene and coloured image.
Described exposure tests module, judges described coloured image whether overexposure：If described coloured image is not excessively
Exposure, then carry out region segmentation to described black white image；Otherwise return described coloured image, and point out Fusion failure.
The determination methods of described coloured image whether overexposure are：
Described coloured image is converted to yuv format and obtains the first intermediate image；
Setting brightness overexposure threshold value；
Count brightness in the luminance channel of the first intermediate image and exceed the pixel of described brightness overexposure threshold value and account for the ratio of total pixel,
If this ratio is more than setting value then it is assumed that described coloured image overexposure.
Described region segmentation module, described black white image is normalized, and described black white image is carried out area
Multiple area level are merged into according to brightness in the region that regional partition obtains, and the plurality of area level is divided into clear zone and dark space.
Described luminance difference computing module, calculates each area level and corresponding region in described coloured image in described dark space
Luminance difference sum, obtains dark space luminance difference value, and it is corresponding with described coloured image to calculate each area level in described clear zone
The luminance difference sum in region, obtains clear zone luminance difference value.
Described luminance adjustment module, adjusts described artwork master according to described dark space luminance difference value and clear zone luminance difference value
The brightness of picture.
The brightness adjusting method of described black white image is：
y1(x) = 5 * x *exp（-14*x）
f(x) = x+LL * y1(x) - LH * y1(1-x)
In formula, x is the brightness value of each pixel of black white image after normalization, and the black white image after f (x) is brightness regulation is each
The brightness value of pixel, LL- dark space luminance difference value, LH- clear zone luminance difference value.
Described Fusion Module, is merged carrying out the black white image after brightness regulation with described coloured image.
The above be only the preferred embodiment of the present invention it should be understood that the present invention be not limited to described herein
Form, is not to be taken as the exclusion to other embodiment, and can be used for various other combinations, modification and environment, and can be at this
In the described contemplated scope of literary composition, it is modified by the technology or knowledge of above-mentioned teaching or association area.And those skilled in the art are entered
The change of row and change, then all should be in the protection domains of claims of the present invention without departing from the spirit and scope of the present invention
Interior.
Claims (10)
1. a kind of brightness of image control method is it is characterised in that include：
By black and white and color camera, obtain the black and white under Same Scene and coloured image；
Judge described coloured image whether overexposure：If described coloured image does not have overexposure, to described black white image
Carry out region segmentation；
Described black white image is normalized, and described black white image is carried out region that region segmentation obtains according to bright
Degree merges into multiple area level；
The plurality of area level is divided into clear zone and dark space；
Calculate each area level and the luminance difference sum of corresponding region in described coloured image in described dark space, obtain dark space luminance difference
Different value, and calculate each area level and the luminance difference sum of corresponding region in described coloured image in described clear zone, obtain clear zone
Luminance difference value；
Adjust the brightness of described black white image according to described dark space luminance difference value and clear zone luminance difference value；
Merged carrying out the black white image after brightness regulation with described coloured image.
If 2. a kind of brightness of image control method according to claim 1 is it is characterised in that described coloured image excessively exposes
Light, then return described coloured image, and point out Fusion failure.
3. a kind of brightness of image control method according to claim 1 is it is characterised in that whether described coloured image is excessive
Exposure determination methods be：
Described coloured image is converted to yuv format and obtains the first intermediate image；
Setting brightness overexposure threshold value；
Count brightness in the luminance channel of the first intermediate image and exceed the pixel of described brightness overexposure threshold value and account for the ratio of total pixel,
If this ratio is more than setting value then it is assumed that described coloured image overexposure.
4. a kind of brightness of image control method according to claim 1 is it is characterised in that carry out to described black white image
Segment algorithm is adopted during region segmentation.
5. a kind of brightness of image control method according to claim 1 is it is characterised in that the acquisition methods of described area level
For：
Described black white image is normalized；
Black white image after normalization is equally divided into multiple brightness layers；
Multiple area level are merged into according to described brightness layer in the region obtaining after described black white image region segmentation.
6. a kind of brightness of image control method according to claim 1 is it is characterised in that the division of described clear zone and dark space
Method is：The plurality of area level is equally divided into two parts, a portion is clear zone, another part is dark space.
7. a kind of brightness of image control method according to claim 1 is it is characterised in that the brightness of described black white image is adjusted
Section method is：
y1(x) = 5 * x *exp（-14*x）
f(x) = x+LL * y1(x) - LH * y1(1-x)
In formula, x is the brightness value of each pixel of black white image after normalization, and the black white image after f (x) is brightness regulation is each
The brightness value of pixel, LL- dark space luminance difference value, LH- clear zone luminance difference value.
8. a kind of brightness of image adjusting means is it is characterised in that include：
Photographing module, by black and white and color camera, obtains the black and white under Same Scene and coloured image；
Exposure tests module, judges described coloured image whether overexposure：If described coloured image does not have overexposure, right
Described black white image carries out region segmentation；
Region segmentation module, described black white image is normalized, and described black white image is carried out region segmentation obtains
To region multiple area level are merged into according to brightness, the plurality of area level is divided into clear zone and dark space；
Luminance difference computing module, calculate corresponding region in each area level and described coloured image in described dark space luminance difference it
With, obtain dark space luminance difference value, and calculate each area level in described clear zone with described coloured image corresponding region bright
Degree difference sum, obtains clear zone luminance difference value；
Luminance adjustment module, adjusts the bright of described black white image according to described dark space luminance difference value and clear zone luminance difference value
Degree；
Fusion Module, is merged carrying out the black white image after brightness regulation with described coloured image.
9. a kind of brightness of image adjusting means according to claim 8 is it is characterised in that whether described coloured image is excessive
Exposure determination methods be：
Described coloured image is converted to yuv format and obtains the first intermediate image；
Setting brightness overexposure threshold value；
Count brightness in the luminance channel of the first intermediate image and exceed the pixel of described brightness overexposure threshold value and account for the ratio of total pixel,
If this ratio is more than setting value then it is assumed that described coloured image overexposure.
10. a kind of brightness of image adjusting means according to claim 8 is it is characterised in that the brightness of described black white image
Control method is：
y1(x) = 5 * x *exp（-14*x）
f(x) = x+LL * y1(x) - LH * y1(1-x)
In formula, x is the brightness value of each pixel of black white image after normalization, and the black white image after f (x) is brightness regulation is each
The brightness value of pixel, LL- dark space luminance difference value, LH- clear zone luminance difference value.
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