CN108989678A - A kind of image processing method, mobile terminal - Google Patents
A kind of image processing method, mobile terminal Download PDFInfo
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- CN108989678A CN108989678A CN201810847393.8A CN201810847393A CN108989678A CN 108989678 A CN108989678 A CN 108989678A CN 201810847393 A CN201810847393 A CN 201810847393A CN 108989678 A CN108989678 A CN 108989678A
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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
- H04N23/80—Camera processing pipelines; Components thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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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
- H04N5/272—Means for inserting a foreground image in a background image, i.e. inlay, outlay
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Abstract
The invention discloses a kind of image processing methods, mobile terminal, this method comprises: determining default noise template corresponding with the sensitivity according to the sensitivity of image to be processed；The default noise template is merged with the virtualization background of the image to be processed, obtains the virtualization background comprising noise.In this way, it finally shoots in obtained image, main body and virtualization background include noise, in terms of existing technologies, due to including noise in the main body and virtualization background in image, the noise consistency in image between main body and virtualization background can be improved, the authenticity of virtualization background can visually be increased, so as to improve visual effect, promote the shooting experience of user.
Description
Technical field
The present invention relates to intelligent terminal field more particularly to a kind of image processing methods, mobile terminal.
Background technique
In recent years, with the continuous development of terminal technique for taking, more and more mobile terminals start to provide background blurring
Shooting function.Background blurring is a kind of object that can be blurred other than shooting main body, thus the shooting side of prominent shooting main body
Method, for user when shooting image using the background blurring function of mobile terminal, mobile terminal can be to the back other than shooting main body
Scape carries out virtualization processing, so that shooting obtains the image with virtualization background.
Mobile terminal is when carrying out virtualization processing to background, it will usually the large aperture effect for simulating single-lens reflex camera, i.e., in image
Background be smoothed so that blurred background, to achieve the effect that virtualization.However, in practical applications, this virtualization
The method of background can make the noise between the background after virtualization and shooting main body inconsistent, lead to the visual effect of image not
It is good.
Summary of the invention
The embodiment of the present invention provides a kind of image processing method, mobile terminal, for solving existing mobile terminal to figure
As the weakening method of background can make virtualization after background and shooting main body between noise it is inconsistent, so as to cause the view of image
Feel ineffective problem.
In a first aspect, providing a kind of image processing method, comprising:
According to the sensitivity of image to be processed, default noise template corresponding with the sensitivity is determined；
The default noise template is merged with the virtualization background of the image to be processed, the virtualization comprising noise is obtained and carries on the back
Scape.
Second aspect provides a kind of mobile terminal, comprising:
Determining module determines default noise template corresponding with the sensitivity according to the sensitivity of image to be processed；
Processing module merges the default noise template with the virtualization background of the image to be processed, obtains comprising making an uproar
The virtualization background of sound
The third aspect provides a kind of mobile terminal, comprising: memory, processor and is stored on the memory simultaneously
The computer program that can be run on the processor realizes such as first party when the computer program is executed by the processor
The step of method described in face.
Fourth aspect provides a kind of computer readable storage medium, which is characterized in that the computer-readable storage medium
It is stored with computer program in matter, the step of method as described in relation to the first aspect is realized when the computer program is executed by processor
Suddenly.
Technical solution provided in an embodiment of the present invention, it may be predetermined that default noise mode corresponding from different sensitivity
Plate, when shooting has the image of virtualization background, mobile terminal is after obtaining the image to be processed comprising virtualization background, Ke Yigen
Determine corresponding with the sensitivity default noise template according to the sensitivity of image to be processed, and by default noise template with wait locate
The virtualization background fusion in image is managed, the virtualization background comprising noise is obtained.In this way, finally shooting in obtained image, main body
It include noise with virtualization background, in terms of existing technologies, due to including to make an uproar in the main body and virtualization background in image
Therefore sound can improve the noise consistency in image between main body and virtualization background, can visually increase virtualization background
Authenticity promote the shooting experience of user so as to improve visual effect.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes a part of the invention, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the flow diagram of one embodiment of the present of invention image processing method；
Fig. 2 is the schematic diagram of one embodiment of the present of invention image processing method；
Fig. 3 is the structural schematic diagram of one embodiment of the present of invention mobile terminal；
A kind of hardware structural diagram of Fig. 4 mobile terminal of each embodiment to realize the present invention.
Specific embodiment
In the prior art, for user when having the image of virtualization background using mobile terminal shooting, mobile terminal can be with mould
Quasi-simple anti-large aperture effect is smoothed the background in image so that blurred background, blurs back to obtain having
The image of scape.
However, mobile terminal can also while being smoothed to the background in image in actual process
Denoising is carried out to background, that is to say, that blur background in the image finally taken and do not include noise usually.But needle
For the main body in image, mobile terminal can't carry out denoising when carrying out virtualization processing to main body, that is,
Say, in the image finally taken main body be usually include noise.
In this way, due in the image that takes main body include noise, virtualization background does not include noise, causes to blur in image
Noise between background and main body is inconsistent, and image visually lacks authenticity, and visual effect is bad.
In order to solve the above-mentioned technical problem, the embodiment of the present invention provides a kind of image processing method, mobile terminal, this method
It include: that default noise template corresponding with the sensitivity is determined according to the sensitivity of image to be processed；By the default noise
Template is merged with the virtualization background of the image to be processed, obtains the virtualization background comprising noise.
Technical solution provided in an embodiment of the present invention, it may be predetermined that default noise mode corresponding from different sensitivity
Plate, when shooting has the image of virtualization background, mobile terminal is after obtaining the image to be processed comprising virtualization background, Ke Yigen
Determine corresponding with the sensitivity default noise template according to the sensitivity of image to be processed, and by default noise template with wait locate
The virtualization background fusion in image is managed, the virtualization background comprising noise is obtained.In this way, finally shooting in obtained image, main body
It include noise with virtualization background, in terms of existing technologies, due to including to make an uproar in the main body and virtualization background in image
Therefore sound can improve the noise consistency in image between main body and virtualization background, can visually increase virtualization background
Authenticity promote the shooting experience of user so as to improve visual effect.
Technical solution of the present invention is carried out clearly and completely below in conjunction with the specific embodiment of the invention and corresponding attached drawing
Description.Obviously, the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the present invention
In embodiment, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
The mobile terminal that the embodiment of the present invention is recorded, which can provide shooting, to be had the function of blurring background image, specifically,
Application program for shooting image can be installed, the application program, which can provide shooting, has virtualization in the mobile terminal
The function of background image, the executing subject of various embodiments of the present invention can be installed in the mobile terminal for shooting image
Application program.The mobile terminal specifically can be smart phone, tablet computer etc..
The shooting main body (abbreviation main body) recorded in the embodiment of the present invention can be people, is also possible to scenery, can also be
Other shooting main bodys, are not specifically limited here, and the background is the object removed except the main body in image, be can be
People is also possible to scenery.
Technical solution provided in an embodiment of the present invention, can be is had in user using the mobile terminal shooting of above-mentioned record
Image is handled when blurring the image of background, so that in the image finally taken, the noise tool of main body and virtualization background
There is consistency, to increase the authenticity of virtualization background in visual effect, promotes the shooting experience of user.
The technical solution provided below in conjunction with attached drawing, each embodiment that the present invention will be described in detail.
Fig. 1 is the flow diagram of one embodiment of the present of invention image processing method.The method is as described below.
S102: according to the sensitivity of image to be processed, default noise template corresponding with the sensitivity is determined.
In S102, user is obtained final when being had the image of virtualization background using mobile terminal shooting in shooting
Before image, mobile terminal can carry out virtualization processing to the background in image, obtain the image to be processed comprising virtualization background.
Here virtualization processing can be using record in the prior art method (such as simulation single-lens reflex camera large aperture imitate
Fruit), the background in image is smoothed so that blurred background, to achieve the effect that virtualization.Wherein, mobile terminal exists
When carrying out virtualization processing to background, can also denoising be carried out to background, that is to say, that the virtualization back that mobile terminal is handled
Noise is not included in scape.
Mobile terminal can determine the sensitivity of image to be processed after obtaining the image to be processed comprising virtualization background,
And default noise template corresponding with the sensitivity is determined according to the sensitivity of image to be processed.
The sensitivity of image to be processed can be the sensitivity used when mobile terminal shooting image, the default noise mode
Plate can predefine to obtain, and the default noise template specifically can be used for being melted with the virtualization background in image to be processed
It closes, obtains the virtualization background comprising noise.
In the embodiment of the present invention, it may be predetermined that it obtains presetting noise template correspondingly with unused sensitivity,
Wherein, when determining default noise template, the user that executing subject can be above-mentioned record shoots the mobile end used when image
End, is also possible to other mobile terminals identical with the mobile terminal model (since the hardware of the identical mobile terminal of model is matched
Set it is identical, it is therefore contemplated that noise profile having the same in the image that the mobile terminal of same model takes, will be pre-
If noise template is merged with virtualization background, the default noise template used can be identical), mobile terminal is determining default noise
After template, default noise template can be shared in other mobile terminals of same model.
It is illustrated so that executing subject is the mobile terminal of above-mentioned record as an example, mobile terminal specifically can be by with lower section
Formula, which predefines, obtains default noise template, comprising:
Determine target sensitivity；
Under the target sensitivity, to the carry out Image Acquisition of the setting grey level histogram in default colour atla, the first figure is obtained
Picture includes noise in the first image；
According to the first image, default noise template corresponding with the target sensitivity is determined.
The target sensitivity can correspond to multiple sensitivity, when determining target sensitivity, due to certain sensitivity model
The noise profile variation for enclosing interior image less, therefore, can be segmented according to the sensitivity maximum of mobile terminal and determine the target
Sensitivity.
For example, the sensitivity maximum of mobile terminal is 2000, it is possible to determine a target every 300 sensitivity
Sensitivity (for example can be determined as target sensitivity for 200,500,800,1100,1400,1700 and 2000), can also be with every
Determine that a target sensitivity (for example can be determined as target for 400,800,1200,1600 and 2000 every 400 sensitivity
Sensitivity).
It should be noted that the number of target sensitivity is not when the method by above-mentioned record determines target sensitivity
It is preferably very few, this way it is possible to avoid leading to not since target sensitivity and the sensitivity of image to be processed differ greatly for wait locate
It manages image and determines the problem of relatively accurately presetting noise template.
Preferably, the number of the target sensitivity can be more than or equal to 4, it is alternatively possible to according to specific actual conditions
It determines, is not specifically limited here.
After determining target sensitivity, it may further determine that and each one-to-one noise mode of target sensitivity
Plate.For ease of description, it can be illustrated by taking the corresponding default noise template of the one of target sensitivity of determination as an example.Tool
Body:
Under target sensitivity, Image Acquisition can be carried out to the setting grey level histogram in default colour atla, obtained comprising noise
The first image, wherein in default colour atla setting grey level histogram carry out Image Acquisition when, in order to guarantee noise profile with
Machine needs to keep the uniformity of illumination as far as possible.No. 22 ashes in setting grey level histogram preferably 24 colour atlas in the default colour atla
Degree card does not do specific limit it is of course also possible to which the grey level histogram in other colour atlas is selected to carry out Image Acquisition according to the actual situation here
It is fixed.
It, can and target sensitivity pair determining according to the first image after collecting the first image comprising noise
The default noise template answered.
It should be noted that in practical applications, if the virtualization background in image to be processed be mobile terminal to image into
It is obtained before other processing of row, then, correspondingly, the first image is that mobile terminal carries out other processing to the first image
Image before；If the virtualization background in image to be processed is that mobile terminal obtain after other processing to image, that
, correspondingly, the first image is that mobile terminal carries out other images after handling to the first image.In this way, can protect
Card subsequent extracted to default noise template with blur background more match, syncretizing effect is more preferably.
When determining default noise template corresponding with target sensitivity according to the first image, may include:
The second image being sized is chosen from the first image, it is described to be sized less than the first image
Size；
According to the pixel value of each pixel in second image, making an uproar for each pixel in second image is determined
Sound value；
According to the noise figure of each pixel, the corresponding default noise template of the target sensitivity is determined, it is described
Noise figure comprising each pixel in default noise template.
In the embodiment of the present invention, it can be extracted from the first image and obtain the default noise template.
When extracting default noise template, in order to guarantee the uniformity and randomness of noise profile in default noise template,
The second image being sized can be chosen from the first image, and is extracted from second image and obtained default noise
Template.
The size being sized less than the first image, when choosing the second image being sized, it is preferable that
It can be selected from the first image by paracentral region.For example, when the first image size be 1600 ×
When 1600, the image having a size of 200 × 200 can be chosen from the first image central area as the second image.
After choosing the second image, described can be determined according to the pixel value of each pixel in second image
The noise figure of each pixel in two images.Wherein, the noise figure can be understood as gray value.
In determining second image when noise figure of each pixel, may include:
The equivalent pixel value for the pixel for including in row or column where determining the first pixel, first pixel are described second
Any pixel in image；
It determines the pixel value of first pixel and the difference of the equivalent pixel value, and the difference is determined as described
The noise figure of first pixel.
By taking first pixel in second image as an example, it is possible, firstly, to determine first pixel be expert at or
The equivalent pixel value for all pixels for including in column, the equivalent pixel value can be first pixel and be expert at or column
All pixels pixel value average value, be also possible to the r.m.s. of the pixel value of all pixels, can also be described
The median etc. of the pixel value of all pixels, is not specifically limited here.Preferably, the equivalent pixel value can be average
Value.
For example, if can for first pixel of the first row comprising 200 × 200 pixels in second image
With determine the average value of pixel value of 200 pixels for including in the first row (or first row) where the pixel, r.m.s. or
Median etc., and using determining average value, r.m.s. or median as equivalent pixel value.
After determining the equivalent pixel value, the pixel value and the equivalent picture of first pixel may further determine that
The difference of element value, and the difference is determined as to the noise figure of first pixel.
After the noise figure for determining first pixel, can method according to the above records determine in second image
The noise figure of each pixel.
In determining second image after the noise figure of each pixel, can further it obtain and target sensitivity pair
The default noise template answered.Wherein, the noise figure comprising each pixel in second image in the default noise template,
The matrix that the default noise template is specifically understood that be made of the noise figure of each pixel in second image, square
The coordinate of each noise figure can coordinate one-to-one correspondence of the pixel corresponding with the noise figure in second image in battle array.
For example, second image includes 200 × 200 pixels, root when the size of second image is 200 × 200
200 × 200 matrix can be considered as according to the default noise template that second image determines, which includes 200 × 200 and make an uproar
Sound value, wherein it is the pixel of the i-th row jth column intersection in second image that coordinate, which is the noise figure of (i, j), in matrix
Noise figure, pixel coordinate in second image can also be indicated by (i, j).
In addition, the default noise template can also be considered as using it includes image of the noise figure as gray value, image
Size is identical as the size of second image.
After determining the corresponding default noise template of a target sensitivity based on the method for above-mentioned record, phase can be based on
Same method is determining to preset noise template with multiple target sensitivity correspondingly.
Determining with after multiple target sensitivity correspondingly default noise template, mobile terminal is being obtained comprising virtualization
When the image to be processed of background, according to the sensitivity of image to be processed and it can predefine with multiple target sensitivity one by one
Corresponding default noise template determines default noise template corresponding with the sensitivity of image to be processed.
It should be noted that since the corresponding target sensitivity of predetermined default noise template is that segmentation is determining,
Target sensitivity identical with the sensitivity of image to be processed may not included, therefore, determining photosensitive with image to be processed
When spending corresponding default noise template, can from the corresponding target sensitivity of predetermined default noise template, determine with
The immediate target sensitivity of the sensitivity of image to be processed, and will be photosensitive with the immediate target of the sensitivity of image to be processed
Corresponding default noise template is spent, default noise template corresponding with the sensitivity of image to be processed is determined as.
For example, predetermined default noise template include five templates of A, B, C, D and E, corresponding target sensitivity according to
Secondary is 400,800,1200,1600 and 2000, and the sensitivity of image to be processed is 1100, it is known that, do not have in default noise template
There is template corresponding with sensitivity 1100.At this point, due to 1100 closest with 1200 in target sensitivity, it can will
And 1200 corresponding default noise templates are as default noise template corresponding with sensitivity 1100.
In S102, after determining default noise template corresponding with the sensitivity of image to be processed, S104 can be executed.
S104: the default noise template is merged with the virtualization background in the image to be processed, is obtained comprising noise
Virtualization background.
It, can will be described pre- after determining corresponding with the sensitivity of image to be processed default noise template in S104
If noise template is merged with the virtualization background in image to be processed, the virtualization background comprising noise is obtained.Here fusion can be with
It is interpreted as adding noise in the virtualization background according to the default noise template.
In the embodiment of the present invention, the default noise template is merged with the virtualization background of the image to be processed, it can be with
Include:
Firstly, determining the target area in the virtualization background.
The size of the target area can be identical as the size of the default noise template, and the default noise template can
To be used to merge with the target area, to obtain the target area comprising noise.
It should be noted that in practical applications, the region for blurring background is usually irregular shape, from virtualization background
When middle determining target area, it is more likely that it is unable to get the identical target area of size with the default noise template,
Therefore, for the ease of the fusion of subsequent noise, the target area may include a part of region of main body in image to be processed,
It is subsequent default noise template is merged with target area when, it is only necessary to include in target area main part carry out
It blocks.
It should also be noted that, based on the content recorded in above-mentioned S102 it is found that when determining default noise template, from the
Therefore the size for the second image chosen in one image determines pre- less than the size of the first image according to second image
If the size of noise template is again smaller than the size of the first image.In this way, default noise template is merged with virtualization background
When, the size of default noise template is probably less than the size of virtualization background, and therefore, the number of the target area can be
It is multiple, that is to say, that the virtualization background to be divided into multiple target areas, the default noise template is used for and multiple targets
Region is merged, and is obtained multiple comprising the target area of noise.
Wherein, it when merging default noise template with multiple target areas, can be spelled using multiple default noise templates
The method (number that the number of default noise template can be equal to target area) connect, the noise template that splicing is obtained with it is multiple
Target area constitute virtualization background fusion, alternatively, also use iteration method, by default noise template cyclically from different mesh
Mark region fusion.
Since default noise template is identical as the mode that each target area is merged, it below will be with one of them
It is illustrated for target area
Secondly, each pixel in target area can be traversed after determining target area, determined based on default noise template
Obtain each pixel comprising noise.
For ease of description, it will be merged, obtained with an object pixel in target area with default noise template below
It is illustrated for object pixel comprising noise.
In the embodiment of the present invention, default noise template is merged with object pixel, be can be according in default noise template
The noise figure for including adds noise in object pixel, so that including noise in object pixel.However, it is desirable to explanation, by
In noise intensity and brightness of image strong correlation, the brighter local noise of image is weaker, and the darker local noise of image is stronger, because
This, when adding noise in object pixel according to default noise template, it is also necessary to consider that the brightness of object pixel and noise are strong
Spend coefficient.
Specifically, when merging default noise template with object pixel, can according in default noise template with target
The corresponding noise figure in the position of pixel in the target area, the brightness of noise intensity coefficient and object pixel determine target
The corresponding actual noise value of pixel.Wherein, the position of object pixel in the target area can be object pixel in target area
In coordinate, noise figure corresponding with the position of object pixel can be the noise in default noise template at the coordinate position
Value, the noise intensity coefficient are constant, can specifically be obtained according to the determination of different mobile terminals, the actual noise value can
To be considered as the noise figure for needing to add in object pixel.
When determining the actual noise value, can be determined by following formula:
P=r*M (1-I/255),
Wherein, P is the corresponding actual noise value of the object pixel, and r is the noise intensity coefficient, and M is described default
Noise figure corresponding with the position of the object pixel in noise template, I are the brightness of the object pixel.
After determining actual noise value, the actual noise value can be superimposed with the pixel value of object pixel, i.e., in mesh
The actual noise value is added in mark pixel, obtains the object pixel comprising noise.
Again, after determining the object pixel comprising noise, it can be based on identical method, by traversal target area
Each pixel, obtain each pixel comprising noise, the target area comprising noise can be obtained by based on each pixel comprising noise
Domain.
Finally, identical method can be based on by default noise template and its after obtaining the target area comprising noise
His target area is merged, and multiple target areas comprising noise, and then the available virtualization background comprising noise are obtained.
It should be noted that when merging default noise template with the virtualization background in image to be processed, in order to avoid
Accidentally processing is carried out to the main body in image to be processed, by default noise template with blur before background merges, can according to
The main body handled in image generates exposure mask figure, and when merging default noise template with virtualization background, the exposure mask can be used
Figure covers main body, so that default noise template is only merged with virtualization background.
The whole process that default noise template is merged with virtualization background in order to facilitate understanding, refers to Fig. 2.Fig. 2 is this
The schematic diagram of one embodiment image processing method of invention.
In Fig. 2, the size of image to be processed is 800 × 800, based on picture centre region to be processed, the size of main body
For 100 × 100 (in practical application, the size of main body be mostly it is irregular, here only by taking 100 × 100 regular size as an example
Illustrate), remaining region is the virtualization background in image to be processed, and default noise template can be considered as the figure having a size of 200 × 200
Picture.
When carrying out noise fusion to image to be processed shown in Fig. 2:
The first step determines the target area in virtualization background.
In Fig. 2, the size for blurring background is significantly greater than the size of default noise template, and the size for blurring background is non-rule
Therefore virtualization background when determining target area, can be divided into multiple target areas, each target area by shape then
It may include a part of main body.
Specifically, can vertical and horizontal two dotted lines in Fig. 2 image to be processed is divided into four target areas, each mesh
The size for marking region is 200 × 200, wherein each target area can also include main body other than comprising virtualization background
A part, it is subsequent default noise template is merged with target area when, using the corresponding exposure mask figure of main body to main body carry out
It blocks.
Default noise template is merged with target area, obtains the target area comprising noise by second step.
For merging default noise template with target area 1, for the first row leftmost first in target area 1
For a object pixel a:
Firstly, determining noise figure corresponding with the position object pixel a in default noise template.
As shown in Fig. 2, since position coordinates of the object pixel a in target area 1 are (1,1), therefore, with object pixel
The corresponding noise figure in the position a is the noise figure that coordinate is (1,1) in default noise template, i.e., default noise template shown in Fig. 2
The noise figure of middle pixel A.
Secondly, determining the actual noise value of object pixel a according to formula P=r*M (1-I/255), wherein P is actually to make an uproar
Sound value, r are noise intensity coefficient, and M is the noise figure of pixel A in default noise template, and I is the brightness of object pixel a.
Again, the actual noise value of object pixel a is superimposed with the pixel value of object pixel a, obtains the mesh comprising noise
Mark pixel a.
Finally, other pixels in traversal target area 1, and the use of identical method is that other pixels add noise, it obtains
Target area 1 comprising noise.Wherein, when traversing the pixel in target area 1, it can be and removed in traversal target area 1
Other pixels outside main part are also possible to traverse pixel all in target area 1, and use the corresponding exposure mask figure of main body
The pixel of main part in target area 1 is blocked, the target area 1 comprising noise can be obtained.
It, can be based on the method for loop iteration, respectively by default noise template after determining the target area 1 comprising noise
It is merged with target area 2,3 and 4, obtains the target area 2,3 and 4 comprising noise.
Third step obtains the virtualization background comprising noise according to the target area comprising noise.
Target area 1,2,3 and 4 comprising noise may be constructed the virtualization background comprising noise.
It in embodiments of the present invention, can also be according to the virtualization comprising noise after obtaining the virtualization background comprising noise
Main body in background and image to be processed, the image after obtaining virtualization corresponding with image to be processed.Figure after the virtualization
As in, since main body and virtualization background all have noise, the noise in image between main body and virtualization background can be improved
Consistency can visually increase the authenticity of virtualization background, so as to improve visual effect.
In practical applications, user is real through the invention when having the image of virtualization background using mobile terminal shooting
The technical solution of example offer is applied, user can directly shoot to obtain virtualization background and main body all has the image of noise, to mention
Rise the shooting experience of user.
Technical solution provided in an embodiment of the present invention, it may be predetermined that default noise mode corresponding from different sensitivity
Plate, when shooting has the image of virtualization background, mobile terminal is after obtaining the image to be processed comprising virtualization background, Ke Yigen
Determine corresponding with the sensitivity default noise template according to the sensitivity of image to be processed, and by default noise template with wait locate
The virtualization background fusion in image is managed, the virtualization background comprising noise is obtained.In this way, finally shooting in obtained image, main body
It include noise with virtualization background, in terms of existing technologies, due to including to make an uproar in the main body and virtualization background in image
Therefore sound can improve the noise consistency in image between main body and virtualization background, can visually increase virtualization background
Authenticity promote the shooting experience of user so as to improve visual effect.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the movement recorded in detail in the claims or step can be come according to the sequence being different from embodiment
It executes and desired result still may be implemented.In addition, process depicted in the drawing not necessarily require show it is specific suitable
Sequence or consecutive order are just able to achieve desired result.In some embodiments, multitasking and parallel processing be also can
With or may be advantageous.
Fig. 3 is the structural schematic diagram of one embodiment of the present of invention mobile terminal.The mobile terminal comprises determining that module
31 and processing module 32, in which:
Determining module 31 determines default noise template corresponding with the sensitivity according to the sensitivity of image to be processed；
The default noise template is merged with the virtualization background of the image to be processed, is included by processing module 32
The virtualization background of noise.
Optionally, the determining module 31 predefines obtain the default noise template in the following manner, comprising:
Determine target sensitivity；
Under the target sensitivity, Image Acquisition is carried out to the setting grey level histogram in default colour atla, obtains the first image,
It include noise in the first image；
According to the first image, default noise template corresponding with the target sensitivity is determined.
Optionally, the determining module 31 determines corresponding with the target sensitivity default according to the first image
Noise template, comprising:
The second image being sized is chosen from the first image, it is described to be sized less than the first image
Size；
According to the pixel value of each pixel in second image, making an uproar for each pixel in second image is determined
Sound value；
According to the noise figure of each pixel, the corresponding default noise template of the target sensitivity is determined, it is described
Noise figure comprising each pixel in default noise template.
Optionally, the determining module 31 determines described according to the pixel value of each pixel in second image
The noise figure of each pixel in two images, comprising:
The equivalent pixel value for the pixel for including in row or column where determining the first pixel, first pixel are described second
Any pixel in image；
It determines the pixel value of first pixel and the difference of the equivalent pixel value, and the difference is determined as described
The noise figure of first pixel.
Optionally, the processing module 32 melts the default noise template and the virtualization background of the image to be processed
It closes, obtains the virtualization background comprising noise, comprising:
Determine the target area in the virtualization background, the ruler of the size of the target area and the default noise template
Very little identical, the default noise template with the target area for merging to obtain the target area comprising noise；
Circulation executes following steps, until traversing each pixel in the target area: determining in the target area
Object pixel, the object pixel are any pixel in the target area；According in the default noise template with it is described
The brightness of the position of object pixel corresponding noise figure, noise intensity coefficient and the object pixel, determines the target picture
The corresponding actual noise value of element；The actual noise value is superimposed with the pixel value of the object pixel, is obtained comprising noise
Object pixel；
Based on the object pixel comprising noise, the target area comprising noise is obtained；
Based on the target area comprising noise, the virtualization background comprising noise is obtained.
Optionally, the processing module 32, according to corresponding with the position of the object pixel in the default noise template
Noise figure, noise intensity coefficient and the object pixel brightness, determine the corresponding actual noise value of the object pixel,
Include:
The corresponding actual noise value of the object pixel is determined by following formula:
P=r*M (1-I/255),
Wherein, P is the corresponding actual noise value of the object pixel, and r is the noise intensity coefficient, and M is described default
Noise figure corresponding with the position of the object pixel in noise template, I are the brightness of the object pixel.
Mobile terminal provided in an embodiment of the present invention can be realized mobile terminal in the embodiment of the method for Fig. 1 realize it is each
Process, to avoid repeating, which is not described herein again.In the embodiment of the present invention, it may be predetermined that corresponding pre- from different sensitivity
If noise template, when shooting has the image of virtualization background, mobile terminal is obtaining the image to be processed comprising virtualization background
Afterwards, corresponding with the sensitivity default noise template can be determined according to the sensitivity of image to be processed, and by default noise
Template is merged with the virtualization background in image to be processed, obtains the virtualization background comprising noise.In this way, finally shooting obtained figure
As in, main body and virtualization background include noise, in terms of existing technologies, due in the main body and virtualization background in image
Include noise, therefore, the noise consistency in image between main body and virtualization background can be improved, can visually be increased
The authenticity of background is blurred, so as to improve visual effect, promotes the shooting experience of user.
A kind of hardware structural diagram of Fig. 4 mobile terminal of each embodiment to realize the present invention.
The mobile terminal 400 includes but is not limited to: radio frequency unit 401, network module 402, audio output unit 403, defeated
Enter unit 404, sensor 405, display unit 406, user input unit 407, interface unit 408, memory 409, processor
The components such as 410 and power supply 411.It will be understood by those skilled in the art that mobile terminal structure shown in Fig. 4 is not constituted
Restriction to mobile terminal, mobile terminal may include than illustrating more or fewer components, perhaps combine certain components or
Different component layouts.In embodiments of the present invention, mobile terminal include but is not limited to mobile phone, tablet computer, laptop,
Palm PC, car-mounted terminal, wearable device and pedometer etc..
Wherein, processor 410 determine corresponding with the sensitivity default for the sensitivity according to image to be processed
Noise template；The default noise template is merged with the virtualization background of the image to be processed, obtains the virtualization comprising noise
Background.
In this way, finally shoot in obtained image, main body and virtualization background include noise, compared with the existing technology and
Speech, due to including noise in the main body and virtualization background in image, can improve in image main body and virtualization background it
Between noise consistency, can visually increase virtualization background authenticity promote the bat of user so as to improve visual effect
Take the photograph experience.
It should be understood that the embodiment of the present invention in, radio frequency unit 401 can be used for receiving and sending messages or communication process in, signal
Reception and initiation, specifically, by from base station downlink data receive after, to processor 410 handle；In addition, by uplink
Data are initiated to base station.In general, radio frequency unit 401 includes but is not limited to antenna, at least one amplifier, transceiver, coupling
Device, low-noise amplifier, duplexer etc..In addition, radio frequency unit 401 can also by wireless communication system and network and other set
Standby communication.
Mobile terminal provides wireless broadband internet by network module 402 for user and accesses, and such as user is helped to receive
It sends e-mails, browse webpage and access streaming video etc..
Audio output unit 403 can be received by radio frequency unit 401 or network module 402 or in memory 409
The audio data of storage is converted into audio signal and exports to be sound.Moreover, audio output unit 403 can also be provided and be moved
The relevant audio output of specific function that dynamic terminal 400 executes is (for example, call signal receives sound, message sink sound etc.
Deng).Audio output unit 403 includes loudspeaker, buzzer and receiver etc..
Input unit 404 is for receiving audio or video signal.Input unit 404 may include graphics processor
(Graphics Processing Unit, GPU) 4041 and microphone 4042, graphics processor 4041 is in video acquisition mode
Or the image data of the static images or video obtained in image capture mode by image capture apparatus (such as camera) carries out
Reason.Treated, and picture frame may be displayed on display unit 406.Through graphics processor 4041, treated that picture frame can be deposited
Storage is initiated in memory 409 (or other storage mediums) or via radio frequency unit 401 or network module 402.Mike
Wind 4042 can receive sound, and can be audio data by such acoustic processing.Treated audio data can be
Being converted in the case where telephone calling model can initiate to the format of mobile communication base station to export via radio frequency unit 401.
Mobile terminal 400 further includes at least one sensor 405, such as optical sensor, motion sensor and other biographies
Sensor.Specifically, optical sensor includes ambient light sensor and proximity sensor, wherein ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 4061, and proximity sensor can close when mobile terminal 400 is moved in one's ear
Display panel 4061 and/or backlight.As a kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axis) size of acceleration, it can detect that size and the direction of gravity when static, can be used to identify mobile terminal posture (ratio
Such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap)；It passes
Sensor 405 can also include fingerprint sensor, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer, wet
Meter, thermometer, infrared sensor etc. are spent, details are not described herein.
Display unit 406 is for showing information input by user or being supplied to the information of user.Display unit 406 can wrap
Display panel 4061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode can be used
Forms such as (Organic Light-Emitting Diode, OLED) configure display panel 4061.
User input unit 407 can be used for receiving the number or character information of input, and generate the use with mobile terminal
Family setting and the related key signals input of function control.Specifically, user input unit 407 include touch panel 4071 and
Other input equipments 4072.Touch panel 4071, also referred to as touch screen collect the touch operation of user on it or nearby
(for example user uses any suitable objects or attachment such as finger, stylus on touch panel 4071 or in touch panel 4071
Neighbouring operation).Touch panel 4071 may include both touch detecting apparatus and touch controller.Wherein, touch detection
Device detects the touch orientation of user, and detects touch operation bring signal, transmits a signal to touch controller；Touch control
Device processed receives touch information from touch detecting apparatus, and is converted into contact coordinate, then gives processor 410, receiving area
It manages the order that device 410 is sent and is executed.Furthermore, it is possible to more using resistance-type, condenser type, infrared ray and surface acoustic wave etc.
Seed type realizes touch panel 4071.In addition to touch panel 4071, user input unit 407 can also include other input equipments
4072.Specifically, other input equipments 4072 can include but is not limited to physical keyboard, function key (such as volume control button,
Switch key etc.), trace ball, mouse, operating stick, details are not described herein.
Further, touch panel 4071 can be covered on display panel 4061, when touch panel 4071 is detected at it
On or near touch operation after, send processor 410 to determine the type of touch event, be followed by subsequent processing device 410 according to touching
The type for touching event provides corresponding visual output on display panel 4061.Although in Fig. 4, touch panel 4071 and display
Panel 4061 is the function that outputs and inputs of realizing mobile terminal as two independent components, but in some embodiments
In, can be integrated by touch panel 4071 and display panel 4061 and realize the function that outputs and inputs of mobile terminal, it is specific this
Place is without limitation.
Interface unit 408 is the interface that external device (ED) is connect with mobile terminal 400.For example, external device (ED) may include having
Line or wireless head-band earphone port, external power supply (or battery charger) port, wired or wireless data port, storage card end
Mouth, port, the port audio input/output (I/O), video i/o port, earphone end for connecting the device with identification module
Mouthful etc..Interface unit 408 can be used for receiving the input (for example, data information, electric power etc.) from external device (ED) and
By one or more elements that the input received is transferred in mobile terminal 400 or can be used in 400 He of mobile terminal
Data are transmitted between external device (ED).
Memory 409 can be used for storing software program and various data.Memory 409 can mainly include storing program area
The storage data area and, wherein storing program area can (such as the sound of application program needed for storage program area, at least one function
Sound playing function, image player function etc.) etc.；Storage data area can store according to mobile phone use created data (such as
Audio data, phone directory etc.) etc..In addition, memory 409 may include high-speed random access memory, it can also include non-easy
The property lost memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Processor 410 is the control centre of mobile terminal, utilizes each of various interfaces and the entire mobile terminal of connection
A part by running or execute the software program and/or module that are stored in memory 409, and calls and is stored in storage
Data in device 409 execute the various functions and processing data of mobile terminal, to carry out integral monitoring to mobile terminal.Place
Managing device 410 may include one or more processing units；Preferably, processor 410 can integrate application processor and modulatedemodulate is mediated
Manage device, wherein the main processing operation system of application processor, user interface and application program etc., modem processor is main
Processing wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 410.
Mobile terminal 400 can also include the power supply 411 (such as battery) powered to all parts, it is preferred that power supply 411
Can be logically contiguous by power-supply management system and processor 410, to realize management charging by power-supply management system, put
The functions such as electricity and power managed.
In addition, mobile terminal 400 includes some unshowned functional modules, details are not described herein.
Preferably, the embodiment of the present invention also provides a kind of mobile terminal, comprising: processor 410, memory 409 are stored in
On memory 409 and the computer program that can run on the processor 410, the computer program are executed by processor 410
Each process of the above-mentioned image processing method embodiment of Shi Shixian, and identical technical effect can be reached, to avoid repeating, here
It repeats no more.
The embodiment of the present invention also provides a kind of computer readable storage medium, and meter is stored on computer readable storage medium
Calculation machine program, the computer program realize each process of above-mentioned image processing method embodiment, and energy when being executed by processor
Reach identical technical effect, to avoid repeating, which is not described herein again.Wherein, the computer readable storage medium, such as only
Read memory (Read-Only Memory, abbreviation ROM), random access memory (Random Access Memory, abbreviation
RAM), magnetic or disk etc..
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal (can be mobile phone, computer, service
Device, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form belongs within protection of the invention.
Claims (10)
1. a kind of image processing method characterized by comprising
According to the sensitivity of image to be processed, default noise template corresponding with the sensitivity is determined；
The default noise template is merged with the virtualization background of the image to be processed, obtains the virtualization background comprising noise.
2. the method as described in claim 1, which is characterized in that the default noise template predefines in the following manner
It arrives, comprising:
Determine target sensitivity；
Under the target sensitivity, Image Acquisition is carried out to the setting grey level histogram in default colour atla, obtains the first image, it is described
It include noise in first image；
According to the first image, default noise template corresponding with the target sensitivity is determined.
3. method according to claim 2, which is characterized in that according to the first image, the determining and target sensitivity
Corresponding default noise template, comprising:
The second image being sized, the ruler being sized less than the first image are chosen from the first image
It is very little；
According to the pixel value of each pixel in second image, the noise of each pixel in second image is determined
Value；
According to the noise figure of each pixel, the corresponding default noise template of the target sensitivity is determined, it is described default
Noise figure comprising each pixel in noise template.
4. method as claimed in claim 3, which is characterized in that according to the pixel value of each pixel in second image,
Determine the noise figure of each pixel in second image, comprising:
The equivalent pixel value for the pixel for including in row or column where determining the first pixel, first pixel are second image
In any pixel；
It determines the pixel value of first pixel and the difference of the equivalent pixel value, and the difference is determined as described first
The noise figure of pixel.
5. such as the described in any item methods of Claims 1-4, which is characterized in that by the default noise template with described wait locate
The virtualization background fusion for managing image, obtains the virtualization background comprising noise, comprising:
Determine the target area in the virtualization background, the size phase of the size of the target area and the default noise template
Together, the default noise template with the target area for merging to obtain the target area comprising noise；
Circulation executes following steps, until traversing each pixel in the target area: determining the target in the target area
Pixel, the object pixel are any pixel in the target area；According in the default noise template with the target
The brightness of the position of pixel corresponding noise figure, noise intensity coefficient and the object pixel, determines the object pixel pair
The actual noise value answered；The actual noise value is superimposed with the pixel value of the object pixel, obtains the target comprising noise
Pixel；
Based on the object pixel comprising noise, the target area comprising noise is obtained；
Based on the target area comprising noise, the virtualization background comprising noise is obtained.
6. method as claimed in claim 5, which is characterized in that according in the default noise template with the object pixel
The brightness of position corresponding noise figure, noise intensity coefficient and the object pixel determines the corresponding reality of the object pixel
Border noise figure, comprising:
The corresponding actual noise value of the object pixel is determined by following formula:
P=r*M (1-I/255),
Wherein, P is the corresponding actual noise value of the object pixel, and r is the noise intensity coefficient, and M is the default noise
Noise figure corresponding with the position of the object pixel in template, I are the brightness of the object pixel.
7. a kind of mobile terminal characterized by comprising
Determining module determines default noise template corresponding with the sensitivity according to the sensitivity of image to be processed；
Processing module merges the default noise template with the virtualization background of the image to be processed, obtains comprising noise
Blur background.
8. mobile terminal as claimed in claim 7, which is characterized in that the determining module predefines in the following manner
To the default noise template, comprising:
Determine target sensitivity；
Under the target sensitivity, Image Acquisition is carried out to the setting grey level histogram in default colour atla, obtains the first image, it is described
It include noise in first image；
According to the first image, default noise template corresponding with the target sensitivity is determined.
9. a kind of mobile terminal characterized by comprising memory, processor and be stored on the memory and can be in institute
The computer program run on processor is stated, such as claim 1 to 6 is realized when the computer program is executed by the processor
Any one of described in method the step of.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program is realized when the computer program is executed by processor such as the step of method described in any one of claims 1 to 6.
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