CN109360180A - A kind of method and device obtaining multiframe wide dynamic images - Google Patents
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Abstract
This application discloses a kind of method and devices for obtaining multiframe wide dynamic images.In the scheme of the application, same piece image is handled, the image of expansible several different brightness out, the problem of these images are merged again, therefore influence image there is no dynamic object common in multiframe wide dynamic images, it is only necessary to which brightness layer is controlled, it can be obtained the image of similar " more exposures " effect, the complexity and debugging difficulty for reducing the wide dynamic algorithm of multiframe can keep the color of image not colour cast by color ratio, provide safeguard for the color of image co-registration.In addition, the technical solution of the application also reduces requirement of the wide dynamic algorithm of multiframe to hardware.
Description
Technical field
This application involves technical field of image processing more particularly to a kind of methods and dress for obtaining multiframe wide dynamic images
It sets.
Background technique
Dynamic range is an important parameter of camera performance, the true field that the image of shot by camera can reflect
Illumination range in scape is dynamic range.High dynamic range images be exactly can see information very dark in real scene and
It can see information very bright in real scene.
It is limited to hardware and environment, the dynamic range of image is smaller under many occasions, needs by wide dynamic technique, with solution
The certainly poor quality problem of image under intense light source and backlight, backlight.The technology for improving dynamic range of images mainly has several classes, and one
Class is the performance by improving device, the i.e. dynamic range of imaging sensor, and one kind is that the dynamic model of image is improved by algorithm
It encloses, algorithm therein can be divided into the wide dynamic algorithm of single frames and the wide dynamic algorithm of multiframe again.The wide dynamic algorithm of single frames is i.e. only to a width
Image carries out enhancing class processing, and the ability that this algorithm promotes dynamic range is limited;The algorithm of current main-stream is the wide dynamic of multiframe
Algorithm carries out image co-registration and data to multiple image and maps, one width of final output takes into account bright area and dark space domain information
Image.
However the wide dynamic algorithm of the multiframe of current main-stream is usually that same target field is shot by the different time for exposure
What scape obtained, that is, it is chiefly used in still image processing, if wanting to need imaging sensor that there is output multi-channel figure for dynamic image
As the characteristic of data, i.e., the function is highly dependent on device characteristics.In addition, due to time for exposure difference, if there is movement in scene
Target, it is easy to influence processing result, be formed " ghost ", increase additional processing step.Therefore, how dynamic object pair is reduced
The influence of multiframe wide dynamic images becomes those skilled in the art's urgent problem to be solved.
Summary of the invention
This application provides a kind of method and devices for obtaining multiframe wide dynamic images, wide to solve the multiframe obtained at present
The problem of dynamic image is influenced vulnerable to dynamic object.
On the one hand, the embodiment of the present application provides a kind of method for obtaining multiframe wide dynamic images, comprising:
Obtain the input data of image;
Logarithm process is carried out to the input data, to improve the difference of data;
Bilateral filtering is carried out to the data after the logarithm process, obtains brightness layer data and texture layer data;
The brightness layer data is mapped, several width subgraphs with different brightness datas, each institute are obtained
It is corresponding with a width subgraph to state brightness data;
The different brightness datas are added with the texture layer data respectively, obtain several data splittings;
Exponent arithmetic is carried out to several data splittings respectively, obtains several recovery data of several width subgraphs, often
One recovery data is corresponding with a width subgraph;
According to several recovery data, several width subgraphs are permeated width dynamic image.
Optionally, the step of input data for obtaining image includes:
Judge that described image is color image or black white image;
If described image is color image, the color component data of the color image is obtained;
Processing is weighted to the color component data, the input data that obtains that treated;
If described image is black white image, the input data of the black white image is obtained.
Optionally, if including: described image after the progress logarithm process to input data is color image, divide
The color ratio of color component in the color image is not obtained.
Optionally, described that exponent arithmetic is carried out respectively to several data splittings, obtain several recoveries of several width subgraphs
After data further include:
If described image be color image, by each restore data respectively with the color ratio phase of the color image
Multiply, obtains the recovery data of each width color image.
Optionally, the specific steps for carrying out logarithm process to input data include:
Log_I=log10(I+1), wherein I is the input data.
Optionally, described that processing is weighted to color component data, the specific steps for the input data that obtains that treated
Include:
Wherein, I is the input data, and R, G and B respectively indicate the red component, green component and blue of color image
Component, ω 1, ω 2 and ω 3 respectively indicate the weight of tri- color components of R, G and B.
Optionally, the specific steps for obtaining the color ratio of color component in the color image respectively include:
Wherein, R ', G ' and B ' respectively indicate the color ratio of tri- color components of R, G and B.
Optionally, described that brightness layer data is mapped, obtain several width subgraphs with different brightness datas
Specific steps include:
Wherein, BF indicates filtered brightness layer data, and α indicates the controlling elements of brightness layer, and new_BF indicates brightness number
According to.
Optionally, described that exponent arithmetic is carried out respectively to several data splittings, obtain several recoveries of several width subgraphs
The specific steps of data include:
Wherein, O indicates to restore data, and new_BF+D indicates that data splitting, D indicate texture layer data.
On the other hand, the embodiment of the present application also provides a kind of devices for obtaining multiframe wide dynamic images, comprising:
Data capture unit, for obtaining the input data of image;
Logarithm process unit, for carrying out logarithm process to the input data, to improve the difference of data;
Filter unit obtains brightness layer data and texture for carrying out bilateral filtering to the data after the logarithm process
Layer data;
Data mapping unit obtains having the several of different brightness datas for mapping the brightness layer data
Width subgraph, each described brightness data are corresponding with a width subgraph;
Data summation unit obtains several for being added the different brightness datas with the texture layer data respectively
Data splitting;
Index processing unit obtains several width subgraphs for carrying out exponent arithmetic respectively to several data splittings
Several recovery data, each described recovery data is corresponding with a width subgraph;
Image fusion unit is moved several width subgraphs width that permeates for according to several recovery data
State image.
From the above technical scheme, the embodiment of the present application provides a kind of method and dress for obtaining multiframe wide dynamic images
It sets, obtains the input data of piece image;Logarithm process is carried out to input data, to improve the difference of data;Again to logarithm at
Data after reason carry out bilateral filtering, obtain brightness layer data and texture layer data;Brightness layer data is mapped, is had
There are several width subgraphs of different brightness datas;Different brightness datas are added with texture layer data respectively, obtain several combinations
Data;Exponent arithmetic is carried out to several data splittings respectively, obtains several recovery data of several width subgraphs;According to several extensive
Complex data permeates several width subgraphs width dynamic image.In the scheme of the application, same piece image is handled,
The image of expansible several different brightness out, then these images are merged, therefore there is no normal in multiframe wide dynamic images
The dynamic object seen influences the problem of image, it is only necessary to control brightness layer, can be obtained similar " more exposures " effect
Image reduces the complexity and debugging difficulty of the wide dynamic algorithm of multiframe, can keep the color of image not colour cast by color ratio,
It is provided safeguard for the color of image co-registration.In addition, the technical solution of the application also reduces the wide dynamic algorithm of multiframe to hardware
It is required that.
Detailed description of the invention
In order to illustrate more clearly of the technical solution of the application, attached drawing needed in case study on implementation will be made below
Simply introduce, it should be apparent that, for those of ordinary skills, in the premise of not making the creative labor property
Under, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of flow chart of method for obtaining multiframe wide dynamic images provided by the embodiments of the present application;
Fig. 2 is the flow chart of step 101 provided by the embodiments of the present application;
Fig. 3 is a kind of structural block diagram of device for obtaining multiframe wide dynamic images provided by the embodiments of the present application.
Specific embodiment
In order to make those skilled in the art better understand the technical solutions in the application, below in conjunction with attached drawing, it is right
Technical solution in the embodiment of the present application is clearly and completely described.
Referring to Fig. 1, the embodiment of the present application provides a kind of method for obtaining multiframe wide dynamic images, comprising:
Step 101, the input data of image is obtained;The data of image generally refer to each pixel on the image indicated with numerical value
Gray scale value set, get the input data of image, it is believed that be the gray scale value set for obtaining image.Because on image
There are many pixels, the pixel of each pixel is taken into account when handling image, so obtaining one in the embodiment of the present application
A unified gray scale value set is to handle each pixel on image.
Further, referring to fig. 2, in a step 101, the step of obtaining the input data of image include:
Step 201, judge that described image is color image or black white image.Since color image has red, green, blue three
The component of kind color, is essentially different, so to color image and black white image in the embodiment of the present application with black white image
Treatment process have certain difference, need to increase some treatment processes to color image, to guarantee the face in color image
Color after treatment will not there is a phenomenon where colour casts.
Step 202, if described image is color image, the color component data of the color image is obtained, this Shen
The input data that please indicate image in embodiment with I needs to obtain red component R in image, green for color image
Colouring component G and blue component B, and, the power of the weights omega 1 of red component R, the weights omega 2 of green component G and blue component B
Weight ω 3 further obtains the input data I of color image according to above data.
Step 203, processing is weighted to the color component data, the input data that obtains that treated.Further,
Processing is weighted to color component data according to following formula in the embodiment of the present application:
Wherein, I is the input data, and R, G and B respectively indicate the red component, green component and blue of color image
Component, ω 1, ω 2 and ω 3 respectively indicate the weight of tri- color components of R, G and B, and it is 1 that ω 1, ω 2 and ω 3, which are mutually summed it up,.Pass through
The calculating of above-mentioned formula obtains the input data I of color image, is typically due to green component G closest to luminance information, therefore its is right
The ω 2 answered should be maximized, and blue component B response is minimum, and corresponding ω 3 is minimized, and preferred value is in the present embodiment
ω 1=5/8, ω 2=2/8, ω 3=1/8 is carried it into formula and is calculated the input data of color image, available colour
The optimal input data of image.
Step 204, if described image is black white image, the input data of the black white image is obtained.Due to black and white
Not including in image has color component, so only needing to directly acquire input data I.
Step 102, logarithm process is carried out to the input data, to improve the difference of data.Further, the application is real
It applies in example and logarithm process is carried out using following formula:
Log_I=log10(I+1), wherein I is the input data.
In addition, data difference herein is smaller if there are darker areas in image, can also be put using logarithm process
The difference of data, is convenient for subsequent data handling procedure in big image.In the formula of step 102, the purpose using I+1 is anti-
Only there is I equal to 0 situation, Logarithmic calculation is avoided to be difficult to realize.
Optionally, after step 102 further include: if described image is color image, obtain the cromogram respectively
The color ratio of color component as in.According to the content of above-mentioned steps 201 it is found that point of the color image with three kinds of colors of red, green, blue
Amount, is essentially different, so to the treatment process of color image and black white image in the embodiment of the present application with black white image
There is certain difference, need to increase some treatment processes to color image, to guarantee the color in color image by processing
After will not there is a phenomenon where colour casts.So red component R, green component G and blue are also obtained in the embodiment of the present application respectively
The color ratio of component B.
Further, the color ratio of color component in color image is obtained in the embodiment of the present application respectively using following formula:
Wherein, R ', G ' and B ' respectively indicate the color ratio of tri- color components of R, G and B.
Step 103, bilateral filtering is carried out to the data after the logarithm process, obtains brightness layer data and the texture number of plies
According to.The purpose of bilateral filtering is to isolate brightness layer and texture layer, and obtains brightness layer data and texture layer data.
Further, bilateral filtering is carried out to data using following formula in the embodiment of the present application:
Wherein, BF (i, j) indicates the filtered data of output, and i, j, k, l indicate the call number of data, ω (i, j,
K, l) be two-sided filter domain core, σsAnd σrRespectively indicate airspace core and codomain core.BF is the brightness for indicating image herein
Layer data, D=Log_I-BF are texture layer data.Effect in view of bilateral filtering herein is to obtain brightness layer data and texture layer
Data provide one group in the embodiment of the present application and preferably join so airspace core and codomain core need to only fix one group of parameter
Numerical value, i.e. σs=50 and σr=0.3.According to the preferred parameter of the group, preferred brightness layer data and texture can be calculated
Layer data.
Step 104, the brightness layer data is mapped, obtains several width subgraphs with different brightness datas,
Each described brightness data is corresponding with a width subgraph.
Further, brightness layer data is mapped using following formula in the embodiment of the present application:
Wherein, BF indicates filtered brightness layer data, and α indicates the controlling elements of brightness layer, and new_BF indicates brightness number
According to.Controlling elements can be adjusted, and different new_BF values can be obtained according to the result of adjusting, each new_BF value
A brightness data is represented, a width subgraph can also be further represented.The purpose of mapping is, by adjusting several controls
The value of the factor obtains the different subgraph of several width brightness datas.
Step 105, the different brightness datas are added with the texture layer data respectively, obtain several data splittings.
After adjusting controlling elements by step 104, available several different brightness datas, for example, new_BF1、new_BF2、new_
BF3... ..., then these brightness datas are added with texture layer data respectively, several data splittings are obtained, according to above-mentioned steps
103 content is it is found that texture layer data is D and the collection of data splitting is combined into new_BFm+ D, wherein m=1,2,3 ....
Further, the controlling elements α in the embodiment of the present application can choose three kinds of numerical value, be minimum value α respectively1, in
Between value α2With maximum value α3, wherein the smallest α1The corresponding under exposed image of value, it is therefore an objective to the information of highlight regions can be seen clearly,
Intermediate α2It is worth the image of corresponding normal exposure, it is therefore an objective to see the information in most of region, maximum α clearly3It is worth corresponding overexposure
Image, it is therefore an objective to see the information of dark areas clearly.As most preferred three kinds of α values, α can be taken respectively1=0.5, α2=1.5 and α3=
2.3, according to the optimal α value, it can be obtained the optimal under exposed image of effect, the image of normal exposure and overexposure
Image, and then generate the effects exposed more, effect can also reach best.
Step 106, exponent arithmetic is carried out to several data splittings respectively, obtains several recoveries of several width subgraphs
Data, each described recovery data are corresponding with a width subgraph.The purpose of exponent arithmetic is to restore the data of image.
Further, exponent arithmetic is carried out with data splitting respectively using following formula in the embodiment of the present application, if obtaining
It is dry to restore data:
Wherein, O indicates to restore data, and new_BF+D indicates that data splitting, D indicate texture layer data.
Optionally, include: after step 106
If described image be color image, by each restore data respectively with the color ratio phase of the color image
Multiply, obtains the recovery data of each width color image.According to the content of above-mentioned steps 201 it is found that if the image of processing is coloured silk
Chromatic graph as when, the technical solution in the embodiment of the present application will not only obtain red component R, green component G and blue component B,
The color ratio of red component R, green component G and blue component B are also obtained respectively;Due to abovementioned steps to each component into
Row individually processing, so when restoring data, it is also contemplated that therefore influence of each component for image data will restore data
It is multiplied by the color ratio of each component respectively again, advantageously ensures that the color of color image not colour cast.
Further, the recovery data of each width color image are obtained in the embodiment of the present application using following formula:
Wherein, R ', G ' and B ' respectively indicate the color ratio of tri- color components of R, G and B, OmIndicate that each restores data,
R ", G " and B "mRespectively indicate the recovery data of each width color image components.
Step 107, according to several recovery data, several width subgraphs are permeated width dynamic image.Tool
Body, using the wide dynamic algorithm of multiframe, image co-registration is carried out to several width subgraphs, several subgraphs synthesize a panel height Dynamic Graph
Picture, the high-dynamics image in the application is a kind of image more than normal image bit wide data, takes into account bright area and dark areas letter
Breath.
Since the application is to carry out the extraction and processing of data to piece image, there is no pass through difference in current algorithm
Time for exposure shoots the image in same target scene, it is possible to avoid in shooting process moving target to the shadow of image
It rings, it is easy to operate, while also reducing the complexity and debugging difficulty for obtaining dynamic image total algorithm at present.
Referring to Fig. 3, the embodiment of the present application also provides a kind of devices for obtaining multiframe wide dynamic images, comprising:
Data capture unit 31, for obtaining the input data of image;
Logarithm process unit 32, for carrying out logarithm process to the input data, to improve the difference of data;
Filter unit 33 obtains brightness layer data and line for carrying out bilateral filtering to the data after the logarithm process
Manage layer data;
Data mapping unit 34, for mapping the brightness layer data, if obtaining that there are different brightness datas
Dry width subgraph, each described brightness data are corresponding with a width subgraph;
Data summation unit 35, for being added the different brightness datas with the texture layer data respectively, if obtaining
Dry data splitting;
Index processing unit 36 obtains several width subgraphs for carrying out exponent arithmetic respectively to several data splittings
Several recovery data of picture, each described recovery data are corresponding with a width subgraph;
Image fusion unit 37 permeates several width subgraphs width for according to several recovery data
Dynamic image.
Optionally, the data capture unit is also used to judge that described image is color image or black white image;
If described image is color image, the color component data of the color image is obtained;
Processing is weighted to the color component data, the input data that obtains that treated;
If described image is black white image, the input data of the black white image is obtained.
Optionally, described device further include:
Color ratio acquiring unit obtains color in the color image if being color image for described image respectively
The color ratio of component.
Optionally, described device further include:
Restore data capture unit, if for described image be color image, by each restore data respectively with
The color ratio of the color image is multiplied, and obtains the recovery data of each width color image.
Optionally, the logarithm process unit is also used to carry out logarithm process to input data according to the following formula:
Log_I=log10(I+1), wherein I is the input data.
Optionally, the data capture unit is also used to be weighted processing to color component data according to the following formula,
The input data that obtains that treated:
Wherein, I is the input data, and R, G and B respectively indicate the red component, green component and blue of color image
Component, ω 1, ω 2 and ω 3 respectively indicate the weight of tri- color components of R, G and B.
Optionally, the color ratio acquiring unit is also used to obtain color in the color image respectively according to the following formula
The color ratio of component:
Wherein, R ', G ' and B ' respectively indicate the color ratio of tri- color components of R, G and B.
Optionally, the filter unit is also used to according to the following formula carry out the data after the logarithm process bilateral
Filtering, obtains brightness layer data and texture layer data:
Wherein, BF (i, j) indicates the filtered data of output, and i, j, k, l indicate the call number of data, ω (i, j,
K, l) be two-sided filter domain core, σsAnd σrRespectively indicate airspace core and codomain core.BF is the brightness for indicating image herein
Layer data, D=Log_I-BF are texture layer data.
Optionally, the data mapping unit is also used to according to the following formula map brightness layer data, be had
There are several width subgraphs of different brightness datas:
Wherein, BF indicates filtered brightness layer data, and α indicates the controlling elements of brightness layer, and new_BF indicates brightness number
According to.
Optionally, the index processing unit is also used to carry out index respectively to several data splittings according to the following formula
Operation obtains several recovery data of several width subgraphs:
Wherein, O indicates to restore data, and new_BF+D indicates that data splitting, D indicate texture layer data.
Optionally, the recovery data capture unit is also used to obtain the extensive of each width color image according to the following formula
Complex data:
Wherein, R ', G ' and B ' respectively indicate the color ratio of tri- color components of R, G and B, OmIndicate that each restores data,
R ", G " and B "mRespectively indicate the recovery data of each width color image components.
From the above technical scheme, the embodiment of the present application provides a kind of method and dress for obtaining multiframe wide dynamic images
It sets, obtains the input data of piece image;Logarithm process is carried out to input data, to improve the difference of data;Again to logarithm at
Data after reason carry out bilateral filtering, obtain brightness layer data and texture layer data;Brightness layer data is mapped, is had
There are several width subgraphs of different brightness datas;Different brightness datas are added with texture layer data respectively, obtain several combinations
Data;Exponent arithmetic is carried out to several data splittings respectively, obtains several recovery data of several width subgraphs;According to several extensive
Complex data permeates several width subgraphs width dynamic image.In the scheme of the application, same piece image is handled,
The image of expansible several different brightness out, then these images are merged, therefore there is no normal in multiframe wide dynamic images
The dynamic object seen influences the problem of image, it is only necessary to control brightness layer, can be obtained similar " more exposures " effect
Image reduces the complexity and debugging difficulty of the wide dynamic algorithm of multiframe, can keep the color of image not colour cast by color ratio,
It is provided safeguard for the color of image co-registration.In addition, the technical solution of the application also reduces the wide dynamic algorithm of multiframe to hardware
It is required that.
Those skilled in the art will readily occur to its of the application after considering specification and practicing application disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the application, these modifications, purposes or
Person's adaptive change follows the general principle of the application and including the undocumented common knowledge in the art of the application
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the application are by following
Claim is pointed out.
It should be understood that the application is not limited to the precise structure that has been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.Scope of the present application is only limited by the accompanying claims.
Claims (10)
1. a kind of method for obtaining multiframe wide dynamic images characterized by comprising
Obtain the input data of image;
Logarithm process is carried out to the input data, to improve the difference of data;
Bilateral filtering is carried out to the data after the logarithm process, obtains brightness layer data and texture layer data;
The brightness layer data is mapped, obtains several width subgraphs with different brightness datas, each is described bright
Degree is according to corresponding with a width subgraph;
The different brightness datas are added with the texture layer data respectively, obtain several data splittings;
Exponent arithmetic is carried out to several data splittings respectively, obtains several recovery data of several width subgraphs, each
The recovery data are corresponding with a width subgraph;
According to several recovery data, several width subgraphs are permeated width dynamic image.
2. the method according to claim 1, wherein the step of input data for obtaining image, includes:
Judge that described image is color image or black white image;
If described image is color image, the color component data of the color image is obtained;
Processing is weighted to the color component data, the input data that obtains that treated;
If described image is black white image, the input data of the black white image is obtained.
3. according to the method described in claim 2, it is characterized in that, including: after the progress logarithm process to input data
If described image is color image, the color ratio of color component in the color image is obtained respectively.
4. according to the method described in claim 3, it is characterized in that, described carry out exponent arithmetic to several data splittings respectively,
After obtaining several recovery data of several width subgraphs further include:
If described image is color image, each recovery data is multiplied with the color ratio of the color image respectively, is obtained
To the recovery data of each width color image.
5. the method according to claim 1, wherein the specific steps for carrying out logarithm process to input data
It include: Log_I=log10(I+1), wherein I is the input data.
6. according to the method described in claim 2, obtaining it is characterized in that, described be weighted processing to color component data
The specific steps for input data that treated include:
Wherein, I is the input data, and R, G and B respectively indicate the red component, green component and blue component of color image,
ω 1, ω 2 and ω 3 respectively indicate the weight of tri- color components of R, G and B.
7. according to the method described in claim 6, it is characterized in that, described obtain color component in the color image respectively
The specific steps of color ratio include:
Wherein, R ', G ' and B ' respectively indicate the color ratio of tri- color components of R, G and B.
8. obtaining having not the method according to claim 1, wherein described map brightness layer data
Specific steps with several width subgraphs of brightness data include:
Wherein, BF indicates filtered brightness layer data, and α indicates the controlling elements of brightness layer, and new_BF indicates brightness data.
9. according to the method described in claim 8, it is characterized in that, described carry out exponent arithmetic to several data splittings respectively,
The specific steps for obtaining several recovery data of several width subgraphs include:
Wherein, O indicates to restore data, and new_BF+D indicates that data splitting, D indicate texture layer data.
10. a kind of device for obtaining multiframe wide dynamic images characterized by comprising
Data capture unit, for obtaining the input data of image;
Logarithm process unit, for carrying out logarithm process to the input data, to improve the difference of data;
Filter unit obtains brightness layer data and the texture number of plies for carrying out bilateral filtering to the data after the logarithm process
According to;
Data mapping unit obtains several width with different brightness datas for mapping the brightness layer data
Image, each described brightness data are corresponding with a width subgraph;
Data summation unit obtains several combinations for being added the different brightness datas with the texture layer data respectively
Data;
Index processing unit, for carrying out exponent arithmetic respectively to several data splittings, if obtaining several width subgraphs
Dry to restore data, each described recovery data is corresponding with a width subgraph;
Image fusion unit permeates several width subgraphs width Dynamic Graph for according to several recovery data
Picture.
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