CN107635098A - High dynamic range images noise remove method, apparatus and equipment - Google Patents
High dynamic range images noise remove method, apparatus and equipment Download PDFInfo
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Abstract
This application discloses a kind of high dynamic range images noise remove method, apparatus and equipment, wherein method includes：From automatic exposure control system, depth of exposure grade corresponding to current scene is obtained；According to default depth of exposure grade and noise reduction parameters group corresponding relation, it is determined that noise reduction parameters group corresponding with current depth of exposure grade, noise reduction parameters group is different noise reduction parameters values corresponding to predetermined exposure bias values difference different under same levels of exposure；Different noise reduction parameters values are utilized respectively, noise reduction process is carried out to image corresponding to the different exposure bias values of acquisition；Fusion treatment is carried out to image corresponding to the different exposure bias values after noise reduction process, generates the high dynamic range images under current scene.The present processes realize the image to the different depth of exposures under same depth of exposure grade, carry out denoising using different noise reduction parameters so that shooting image can more preferably retain image detail, improve picture quality, improve Consumer's Experience.
Description
Technical field
The application is related to technical field of image processing, more particularly to a kind of high dynamic range images noise remove method, dress
Put and equipment.
Background technology
Generally, (High Dynamic Range, it is referred to as using the high dynamic range images of camera in terminal device：
HDR when) screening-mode is taken pictures, because the depth of exposure to multiple image is different, so as to cause the noise in multiple image
Feature performance is also different.In order to obtain the image of high quality, it is necessary to carry out denoising to multiple image.Wherein, multiframe figure
As including under-exposure image, normal exposure image and overexposure light image.
At present, when carrying out denoising to multiple image, typically according to the depth of exposure of each two field picture, using difference
Noise reduction parameters respectively to each two field picture carry out denoising.It has been found that above-mentioned denoising mode, easily causes to owing
Exposure image and overexposure image denoising are incomplete, or denoising degree is too strong, so as to influence shooting image quality.
The content of the invention
The application is intended at least solve one of above-mentioned technological deficiency to a certain extent.
Therefore, first purpose of the application is to propose a kind of high dynamic range images noise remove method, this method
The image to the different depth of exposures under same depth of exposure grade is realized, is carried out using different noise reduction parameters at denoising
Reason so that shooting image can more preferably retain image detail, improve picture quality, improve Consumer's Experience.
Second purpose of the application is to propose a kind of high dynamic range images noise remove device.
The 3rd purpose of the application is to propose a kind of terminal device.
The 4th purpose of the application is to propose a kind of computer-readable recording medium.
To achieve these goals, the high dynamic range images noise remove method of the application first aspect embodiment, bag
Include：From automatic exposure control system, depth of exposure grade corresponding to current scene is obtained；According to default depth of exposure grade
With noise reduction parameters group corresponding relation, it is determined that noise reduction parameters group corresponding with current depth of exposure grade, the noise reduction parameters group
For different noise reduction parameters values corresponding to predetermined exposure bias values difference different under same levels of exposure；It is utilized respectively institute
Different noise reduction parameters values are stated, noise reduction process is carried out to image corresponding to the different exposure bias values of acquisition；After noise reduction process
Image corresponding to different exposure bias values carries out fusion treatment, generates the high dynamic range images under the current scene.
To achieve these goals, the high dynamic range images noise remove device of the application second aspect embodiment, bag
Include：First acquisition module, for from automatic exposure control system, obtaining depth of exposure grade corresponding to current scene；First
Determining module, for according to default depth of exposure grade and noise reduction parameters group corresponding relation, it is determined that with current depth of exposure
Noise reduction parameters group corresponding to grade, the noise reduction parameters group are predetermined exposure bias values different under same levels of exposure
Different noise reduction parameters values corresponding to respectively；Noise reduction process module, for being utilized respectively the different noise reduction parameters values, to acquisition
Image corresponding to different exposure bias values carries out noise reduction process；Generation module, for the different exposure compensatings after noise reduction process
Image corresponding to value carries out fusion treatment, generates the high dynamic range images under the current scene.
To achieve these goals, the terminal device of the application third aspect embodiment, including：Memory, processor and
Camera module；The camera module, for gathering the image under current scene；The memory, for storing executable program
Code；The processor, run and the executable journey for reading the executable program code stored in the memory
Program corresponding to sequence code, for realizing the high dynamic range images noise remove method described in first aspect embodiment.
To achieve these goals, the computer-readable recording medium of the application fourth aspect embodiment, is stored thereon with
Computer program, the computer program realize that the high dynamic range images described in first aspect embodiment are made an uproar when being executed by processor
Sound minimizing technology.
Technical scheme disclosed in the present application, has the advantages that：
By elder generation from automatic exposure control system, depth of exposure grade corresponding to current scene is obtained, then according to pre-
If depth of exposure grade and noise parameter group corresponding relation, it is determined that noise reduction parameters corresponding with current depth of exposure grade
Group, different noise reduction parameters values are then utilized respectively, noise reduction process is carried out to image corresponding to the different exposure bias values of acquisition, and
Fusion treatment is carried out to image corresponding to the different exposure bias values after noise reduction process, to generate the high dynamic range under current scene
Enclose image.Hereby it is achieved that to the image of the different depth of exposures under same depth of exposure grade, using different noise reduction parameters
Carry out denoising so that shooting image can more preferably retain image detail, improve picture quality, improve Consumer's Experience.
The aspect and advantage that the application adds will be set forth in part in the description, and will partly become from the following description
Obtain substantially, or recognized by the practice of the application.
Brief description of the drawings
The above-mentioned and/or additional aspect of the application and advantage will become from the following description of the accompanying drawings of embodiments
Substantially and it is readily appreciated that, wherein,
Fig. 1 is the flow chart according to the high dynamic range images noise remove method of the application one embodiment；
Fig. 2 is the flow chart according to the high dynamic range images noise remove method of the application another embodiment；
Fig. 3 is the structural representation according to the high dynamic range images noise remove device of the application one embodiment；
Fig. 4 is the structural representation according to the high dynamic range images noise remove device of the application another embodiment；
Fig. 5 is the structural representation according to the terminal device of the application one embodiment.
Embodiment
Embodiments herein is described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the application, and it is not intended that limitation to the application.
In order to solve in correlation technique, according to the depth of exposure of each two field picture, using different noise reduction parameters respectively to each
When two field picture carries out denoising, easily cause or denoising degree mistake incomplete to under-exposure image and overexposure image denoising
By force, a kind of the problem of influenceing shooting image quality, it is proposed that high dynamic range images noise remove method.
The high dynamic range images noise remove method that the application provides, by elder generation from auto exposure system (Automatic
Exposure Control, referred to as：AEC in), depth of exposure grade corresponding to current scene is obtained, then according to default
Depth of exposure grade and noise reduction parameters corresponding relation, it is determined that noise reduction parameters group corresponding with current depth of exposure grade, wherein
Noise reduction parameters group is different noise reduction parameters corresponding to predetermined exposure bias values difference different under same levels of exposure, so
After be utilized respectively different noise reduction parameters values, to corresponding to the different exposure bias values of acquisition image carry out noise reduction process, and to drop
Image carries out fusion treatment corresponding to the different exposure bias values made an uproar after handling, to generate the HDR figure under current scene
Picture.Hereby it is achieved that to the image of the different depth of exposures under same depth of exposure grade, carried out using different noise reduction parameters
Denoising so that shooting image can more preferably retain image detail, improve picture quality, improve Consumer's Experience.
Below with reference to the accompanying drawings the high dynamic range images noise remove method of the embodiment of the present application is described.
Fig. 1 is the flow chart according to the high dynamic range images noise remove method of the application one embodiment.
As shown in figure 1, the high dynamic range images noise remove method of the application may comprise steps of：
Step 101, from automatic exposure control system, depth of exposure grade corresponding to current scene is obtained.
Specifically, the high dynamic range images noise remove method that the embodiment of the present application provides, can be provided by the application
High dynamic range images noise remove device perform, the device is configured in terminal device, to realize to current scene image
Processing is controlled.
Wherein, terminal device can be any hardware device with camera function in the present embodiment, such as smart mobile phone,
Camera, personal computer (personal computer, referred to as PC) etc., the present invention are not especially limited to this.
Specifically, terminal device to shooting area carry out shooting operation when, AEC can automatically according to the brightness of photographed scene,
Automatic exposure compensation deals are carried out to shooting picture, to obtain normal exposure image.Therefore the application can obtain currently from AEC
Scene corresponding yield value gain in normal exposure, and then the depth of exposure grade according to corresponding to determining above-mentioned yield value.
It should be noted that current scene can also to be obtained from AEC corresponding photosensitive in normal exposure for the present embodiment
Spend ISO, and then the depth of exposure grade according to corresponding to determining the sensitivity of acquisition.
That is, the application can be existed when obtaining depth of exposure grade corresponding to current scene by current scene
Corresponding yield value or sensitivity determine during normal exposure.
Step 102, according to default depth of exposure grade and noise reduction parameters group corresponding relation, it is determined that with current exposure journey
Noise reduction parameters group corresponding to grade is spent, noise reduction parameters group is predetermined exposure bias values different under same levels of exposure point
Not corresponding different noise reduction parameters values.
Wherein, in the present embodiment, default depth of exposure grade and noise reduction parameters group corresponding relation, can be according to reality
Data foundation is tested, the application is not especially limited to this.
Specifically, can be by the depth of exposure grade obtained in step 101 and default depth of exposure grade and noise reduction parameters
Group corresponding relation is inquired about, to determine the noise reduction parameters group corresponding to current depth of exposure grade.
For example, if depth of exposure grade can be divided into 6 grades, respectively grade 1, grade 2, grade 3, grade
4th, class 5 and class 6.
If for the HDR image of a certain scene in shooting, normal exposure image a depth of exposure belongs to grade 3, under-exposure figure
As b depth of exposure belongs to grade 1, and overexposure light image c depth of exposures belong to class 5.
If so using prior art, because each depth of exposure grade corresponds to 1 noise reduction parameters respectively, so that it is determined that
The noise reduction parameters of above-mentioned 3 two field picture are respectively that noise reduction parameters corresponding to grade 3, noise reduction parameters corresponding to grade 1 and class 5 are corresponding
Noise reduction parameters.
And use the application technical scheme, it is determined that above-mentioned three two field picture respectively corresponding to noise reduction parameters when, be first
According to the image a of normal exposure depth of exposure, it is grade 3 to determine levels of exposure corresponding to current scene, is then searched again and 3
Noise reduction parameters corresponding to deficient exposure image, normal exposure image and overexposure image difference under this levels of exposure corresponding to grade.
It can be seen that the application is first to exist it is determined that during different noise reduction parameters values corresponding to different exposure bias values
In multiple depth of exposure grades, the grade matched with current scene depth of exposure is determined, then obtains the levels of exposure pair again
The noise reduction parameters group answered, rather than to image corresponding to the different exposure bias values of Same Scene, using different levels of exposure pair
The denoising parameter answered, so that the exposure parameter determined is more accurate, more reasonable.
Step 103, different noise reduction parameters values are utilized respectively, image corresponding to the different exposure bias values of acquisition is dropped
Make an uproar processing.
Specifically, after noise reduction parameters group corresponding to current yield value is determined, the application can be utilized respectively above-mentioned
The noise reduction parameters value for the normal exposure image that noise reduction parameters group includes, the noise reduction parameters value of under-exposure image, and overexposure
The noise reduction parameters value of image, the normal exposure image, under-exposure image and overexposure light image shot under current scene is carried out
Noise reduction process.
Step 104, fusion treatment is carried out to image corresponding to the different exposure bias values after noise reduction process, generation is described to work as
High dynamic range images under preceding scene.
Specifically, carried out in under-exposure image, normal exposure image and overexposure light image to current scene at noise reduction
After reason, the under-exposure image after noise reduction process, normal exposure image and overexposure light image can be subjected to image co-registration processing, with
Generate the high dynamic range images under current scene.
It is understood that the application high dynamic range images noise remove device, by obtaining corresponding to current scene
Depth of exposure grade, it is determined that noise reduction parameters group corresponding to current depth of exposure grade, then utilizes the noise reduction parameters group determined
Middle different noise reduction parameters value, noise reduction process is carried out to image corresponding to different exposure bias values under current scene, and by noise reduction
Image corresponding to different exposure bias values after processing is merged, and obtains the high dynamic range images under present image, so as to
When effectively prevent using traditional denoising mode image progress noise reduction process different to depth of exposure, existing denoising is incomplete
Or denoising it is too strong the problem of, effectively improve high dynamic range images quality.
In the high dynamic range images noise remove method of the embodiment of the present application, by elder generation from automatic exposure control system
In, depth of exposure grade corresponding to current scene is obtained, then according to pair of default depth of exposure grade and noise parameter group
It should be related to, it is determined that noise reduction parameters group corresponding with current depth of exposure grade, is then utilized respectively different noise reduction parameters values, it is right
Image corresponding to the different exposure bias values of acquisition carries out noise reduction process, and corresponding to the different exposure bias values after noise reduction process
Image carry out fusion treatment, to generate the high dynamic range images under current scene.Hereby it is achieved that under Same Scene not
Image with depth of exposure carries out more reasonably denoising so that shooting image can more preferably retain image detail, improve
Picture quality, improve Consumer's Experience.
By above-mentioned analysis, the application is by obtaining depth of exposure grade corresponding to current scene, it is determined that current right
The noise reduction parameters group answered, then using the different noise reduction parameters in noise reduction parameters group, to image corresponding to different exposure bias values
Carry out noise reduction process.With reference to Fig. 2, to depth of exposure grade and the noise reduction parameters group corresponding relation pre-established in the application
Process be specifically described.
Fig. 2 is the flow chart according to the high dynamic range images noise remove method of the application one embodiment.
As shown in Fig. 2 the high dynamic range images noise remove method of the application may comprise steps of：
Step 201, in standard light both, colour atla corresponding image sets under different depth of exposure grades are obtained, wherein
Every group of image includes normal exposure image, under-exposure image and overexposure light image.
Step 202, noise calculation is carried out to corresponding image sets under different depth of exposure grades respectively, determines depth of exposure
Grade and noise reduction parameters group corresponding relation.
It should be noted that because in actual applications, standard light both can simulate a variety of shooting environmentals, you can to carry
For different brightness values, therefore the application can utilize the different brightness that standard light both provides, to obtain different depth of exposures etc.
Noise reduction parameters group under level, and the corresponding relation of depth of exposure grade and noise reduction parameters group corresponding to foundation.
During specific implementation, the present embodiment can obtain colour atla in different exposure journeys by adjusting the brightness value of standard light both
Corresponding image sets under grade are spent, wherein every group of image includes normal exposure image, under-exposure image and overexposure light image；
Then, noise calculation is carried out to corresponding image sets under different depth of exposure grades respectively, determines depth of exposure etc.
Level and noise reduction parameters group corresponding relation.
Wherein, can be to normal in each grade after corresponding image sets under getting different depth of exposure grades
Exposure image, under-exposure image and overexposure light image carry out noise calculation respectively, to obtain normal exposure image under the grade, owe
Noise reduction parameters value corresponding to exposure image and overexposure light image.
Specifically, noise calculation first can be carried out to the normal exposure image in each gain level, it is then based on normally exposing
Light image carries out noise calculation to under-exposure image and overexposure light image.
Then, according to the above-mentioned noise reduction parameters group calculated, depth of exposure grade pass corresponding with noise reduction parameters group is established
System.
Step 203, current scene corresponding yield value or sensitivity in normal exposure are obtained.
Step 204, according to yield value or sensitivity, depth of exposure grade corresponding to current scene is determined.
Step 205, according to the depth of exposure grade of foundation and noise reduction parameters group corresponding relation, it is determined that with current exposure journey
Noise reduction parameters group corresponding to grade is spent, noise reduction parameters group is predetermined exposure bias values different under same levels of exposure point
Not corresponding different noise reduction parameters values.
Step 206, different noise reduction parameters values are utilized respectively, image corresponding to the different exposure bias values of acquisition is dropped
Make an uproar processing.
Step 207, fusion treatment is carried out to image corresponding to the different exposure bias values after noise reduction process, generates current field
High dynamic range images under scape.
In the high dynamic range images noise remove method of the embodiment of the present application, colour atla is entered by using standard light both
The shooting of the different depth of exposures of row, to obtain corresponding image sets, noise calculation then is carried out to every two field picture in image sets
Noise reduction parameters value corresponding to obtaining, the corresponding pass then established according to depth of exposure between depth of exposure grade and noise reduction parameters group
System, and then when getting the depth of exposure grade of current scene, can be directly in the depth of exposure grade and noise reduction parameters of foundation
Group corresponding relation in, determine depth of exposure grade corresponding with current scene corresponding to noise reduction parameters group, then utilize noise reduction
Different noise reduction parameters values in parameter group carry out noise reduction process to image corresponding to different exposure bias values in current scene, so as to
So that it is higher using the image co-registration high dynamic range images quality after noise reduction process, more image details can be more shown,
Improve Consumer's Experience.
In order to realize above-described embodiment, the invention also provides a kind of high dynamic range images noise remove device.
Fig. 3 is the structural representation of the high dynamic range images noise remove device of one embodiment of the invention.
As shown in figure 3, the high dynamic range images noise remove device of the application includes：First acquisition module 11, first
Determining module 12, noise reduction process module 13 and generation module 14.
Wherein, the first acquisition module 11 is used for from automatic exposure control system, obtains exposure journey corresponding to current scene
Spend grade；
Specifically, first acquisition module 11 specifically includes：
Obtain the current scene corresponding yield value or sensitivity in normal exposure；
According to the yield value or sensitivity, depth of exposure grade corresponding to the current scene is determined.
First determining module 12 is used for according to default depth of exposure grade and noise reduction parameters group corresponding relation, it is determined that with working as
Noise reduction parameters group corresponding to preceding depth of exposure grade, the noise reduction parameters group for it is predetermined with same levels of exposure under not
With different noise reduction parameters values corresponding to exposure bias value difference；
Noise reduction process module 13 is used to be utilized respectively the different noise reduction parameters values, to the different exposure bias values pair of acquisition
The image answered carries out noise reduction process；
Generation module 14 is used to carry out image corresponding to the different exposure bias values after noise reduction process fusion treatment, generation
High dynamic range images under the current scene.
Further, in another embodiment of the application, as shown in figure 4, the high dynamic range images of the application are made an uproar
Sound removal device, in addition to：Second acquisition module 15 and the second determining module 16.
Wherein, the second acquisition module 15 is used in standard light both, and it is right under different depth of exposure grades to obtain colour atla
The image sets answered, wherein every group of image includes normal exposure image, under-exposure image and overexposure light image；
Further, in another embodiment of the application, second acquisition module 15 specifically includes：
By adjusting the brightness value of the standard light both, colour atla corresponding image under different depth of exposure grades is obtained
Group.
Second determining module 16 is used to carry out noise meter to corresponding image sets under the different depth of exposure grades respectively
Calculate, determine the depth of exposure grade and noise reduction parameters group corresponding relation.
It should be noted that the foregoing explanation to high dynamic range images noise remove embodiment of the method is also applied for
The high dynamic range images noise remove device of the embodiment, its realization principle is similar, and here is omitted.
In the high dynamic range images noise remove device that the present embodiment provides, by elder generation from automatic exposure control system
In, depth of exposure grade corresponding to current scene is obtained, then according to pair of default depth of exposure grade and noise parameter group
It should be related to, it is determined that noise reduction parameters group corresponding with current depth of exposure grade, is then utilized respectively different noise reduction parameters values, it is right
Image corresponding to the different exposure bias values of acquisition carries out noise reduction process, and corresponding to the different exposure bias values after noise reduction process
Image carry out fusion treatment, to generate the high dynamic range images under current scene.Hereby it is achieved that to same depth of exposure
The image of different depth of exposures under grade, carry out denoising using different noise reduction parameters so that shooting image can be more
Retain image detail well, improve picture quality, improve Consumer's Experience.
In order to realize above-described embodiment, the present invention also proposes a kind of terminal device.
Fig. 5 is the structural representation of the terminal device of one embodiment of the invention.
Referring to Fig. 5, the application terminal device includes memory 21, processor 22 and camera module 23；
The camera module 23 is used to gather the image under current scene；
The memory 21 is used to store executable program code；
The processor 22 be used to reading the executable program code that is stored in the memory 21 run with it is described can
Program corresponding to configuration processor code, for realizing the high dynamic range images noise remove side described in first aspect embodiment
Method.Wherein high dynamic range images noise remove method includes：From automatic exposure control system, obtain corresponding to current scene
Depth of exposure grade；According to default depth of exposure grade and noise reduction parameters group corresponding relation, it is determined that with current depth of exposure
Noise reduction parameters group corresponding to grade, the noise reduction parameters group are predetermined exposure bias values different under same levels of exposure
Different noise reduction parameters values corresponding to respectively；The different noise reduction parameters values are utilized respectively, to the different exposure bias values pair of acquisition
The image answered carries out noise reduction process；Fusion treatment, generation are carried out to image corresponding to the different exposure bias values after noise reduction process
High dynamic range images under the current scene.
Wherein, terminal device can be any hardware device with camera function in the present embodiment, such as smart mobile phone,
Camera, personal computer (personal computer, referred to as PC) etc., the present invention are not especially limited to this.
It should be noted that the foregoing explanation to high dynamic range images noise remove embodiment of the method is also applied for
The terminal device of the embodiment, its realization principle is similar, and here is omitted.
In the terminal device that the present embodiment provides, by elder generation from automatic exposure control system, it is corresponding to obtain current scene
Depth of exposure grade, then according to the corresponding relation of default depth of exposure grade and noise parameter group, it is determined that with it is current
Noise reduction parameters group corresponding to depth of exposure grade, different noise reduction parameters values are then utilized respectively, to the different exposure compensatings of acquisition
Image corresponding to value carries out noise reduction process, and image corresponding to the different exposure bias values after noise reduction process is carried out at fusion
Reason, to generate the high dynamic range images under current scene.Hereby it is achieved that the difference under same depth of exposure grade is exposed
The image of degree, carry out denoising using different noise reduction parameters so that shooting image can more preferably retain image detail, carry
High picture quality, improves Consumer's Experience.
In order to realize above-described embodiment, the invention also provides a kind of computer-readable recording medium.
The computer-readable recording medium, is stored thereon with computer program, and the program realizes when being executed by processor
The high dynamic range images noise remove method of one side embodiment.Wherein high dynamic range images noise remove method includes：
From automatic exposure control system, depth of exposure grade corresponding to current scene is obtained；According to default depth of exposure grade with
Noise reduction parameters group corresponding relation, it is determined that noise reduction parameters group corresponding with current depth of exposure grade, the noise reduction parameters group are
Different noise reduction parameters values corresponding to predetermined exposure bias value difference different under same levels of exposure；It is utilized respectively described
Different noise reduction parameters values, noise reduction process is carried out to image corresponding to the different exposure bias values of acquisition；To after noise reduction process not
Fusion treatment is carried out with image corresponding to exposure bias value, generates the high dynamic range images under the current scene.
In the present invention, unless otherwise clearly defined and limited, the term such as term " setting ", " connection " should do broad sense reason
Solution, for example, it may be mechanically connecting or electrically connecting；Can be joined directly together, the indirect phase of intermediary can also be passed through
Even, can be two element internals connection or two elements interaction relationship, limited unless otherwise clear and definite.For this
For the those of ordinary skill in field, the concrete meaning of above-mentioned term in the present invention can be understood as the case may be.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or the spy for combining the embodiment or example description
Point is contained at least one embodiment or example of the present invention.
In addition, term " first ", " second " are only used for describing purpose, and it is not intended that instruction or hint relative importance
Or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can be expressed or
Implicitly include at least one this feature.
Any process or method described otherwise above description in flow chart or herein is construed as, and represents to include
Module, fragment or the portion of the code of the executable instruction of one or more the step of being used to realize specific logical function or process
Point, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discuss suitable
Sequence, including according to involved function by it is basic simultaneously in the way of or in the opposite order, carry out perform function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each several part of the present invention can be realized with hardware, software, firmware or combinations thereof.Above-mentioned
In embodiment, software that multiple steps or method can be performed in memory and by suitable instruction execution system with storage
Or firmware is realized.If, and in another embodiment, can be with well known in the art for example, realized with hardware
Any one of row technology or their combination are realized：With the logic gates for realizing logic function to data-signal
Discrete logic, have suitable combinational logic gate circuit application specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are appreciated that to realize all or part of step that above-described embodiment method carries
Suddenly it is that by program the hardware of correlation can be instructed to complete, described program can be stored in a kind of computer-readable storage medium
In matter, the program upon execution, including one or a combination set of the step of embodiment of the method.
Storage medium mentioned above can be read-only storage, disk or CD etc..Although have been shown and retouch above
Embodiments of the invention are stated, it is to be understood that above-described embodiment is exemplary, it is impossible to be interpreted as the limit to the present invention
System, one of ordinary skill in the art can be changed to above-described embodiment, change, replace and become within the scope of the invention
Type.
Claims (10)
- A kind of 1. high dynamic range images noise remove method, it is characterised in that including：From automatic exposure control system, depth of exposure grade corresponding to current scene is obtained；According to default depth of exposure grade and noise reduction parameters group corresponding relation, it is determined that corresponding with current depth of exposure grade Noise reduction parameters group, the noise reduction parameters group is corresponding to predetermined exposure bias values difference different under same levels of exposure Different noise reduction parameters values；The different noise reduction parameters values are utilized respectively, noise reduction process is carried out to image corresponding to the different exposure bias values of acquisition；Fusion treatment is carried out to image corresponding to the different exposure bias values after noise reduction process, generates the height under the current scene Dynamic image.
- 2. the method as described in claim 1, it is characterised in that described to determine noise reduction corresponding with current depth of exposure grade Before parameter group, in addition to：In standard light both, colour atla corresponding image sets under different depth of exposure grades are obtained, wherein being wrapped in every group of image Include normal exposure image, under-exposure image and overexposure light image；Noise calculation is carried out to corresponding image sets under the different depth of exposure grades respectively, determines the depth of exposure grade With noise reduction parameters group corresponding relation.
- 3. method as claimed in claim 2, it is characterised in that the acquisition colour atla is corresponding under different depth of exposure grades Image sets, including：By adjusting the brightness value of the standard light both, colour atla corresponding image sets under different depth of exposure grades are obtained.
- 4. the method as described in claim 1-3 is any, it is characterised in that depth of exposure etc. corresponding to the acquisition current scene Level, including：Obtain the current scene corresponding yield value or sensitivity in normal exposure；According to the yield value or sensitivity, depth of exposure grade corresponding to the current scene is determined.
- A kind of 5. high dynamic range images noise remove device, it is characterised in that including：First acquisition module, for from automatic exposure control system, obtaining depth of exposure grade corresponding to current scene；First determining module, for according to default depth of exposure grade and noise reduction parameters group corresponding relation, it is determined that with it is current Noise reduction parameters group corresponding to depth of exposure grade, the noise reduction parameters group are predetermined exposures different under same levels of exposure Different noise reduction parameters values corresponding to light offset difference；Noise reduction process module, for being utilized respectively the different noise reduction parameters values, to corresponding to the different exposure bias values of acquisition Image carries out noise reduction process；Generation module, for carrying out fusion treatment to image corresponding to the different exposure bias values after noise reduction process, described in generation High dynamic range images under current scene.
- 6. device as claimed in claim 5, it is characterised in that also include：Second acquisition module, in standard light both, obtaining colour atla corresponding image sets under different depth of exposure grades, Wherein every group of image includes normal exposure image, under-exposure image and overexposure light image；Second determining module, for carrying out noise calculation to corresponding image sets under the different depth of exposure grades respectively, really The fixed depth of exposure grade and noise reduction parameters group corresponding relation.
- 7. device as claimed in claim 6, it is characterised in that second acquisition module, specifically include：By adjusting the brightness value of the standard light both, colour atla corresponding image sets under different depth of exposure grades are obtained.
- 8. the device as described in claim 5-7 is any, it is characterised in that first acquisition module, specifically include：Obtain the current scene corresponding yield value or sensitivity in normal exposure；According to the yield value or sensitivity, depth of exposure grade corresponding to the current scene is determined.
- A kind of 9. terminal device, it is characterised in that including：Memory, processor and camera module；The camera module, for gathering the image under current scene；The memory, for storing executable program code；The processor, run and the executable program for reading the executable program code stored in the memory Program corresponding to code, for realizing the high dynamic range images noise remove method as described in claim 1-4 is any.
- 10. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the computer program quilt The high dynamic range images noise remove method as described in claim 1-4 is any is realized during computing device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711036859.8A CN107635098B (en) | 2017-10-30 | 2017-10-30 | High dynamic range images noise remove method, device and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201711036859.8A CN107635098B (en) | 2017-10-30 | 2017-10-30 | High dynamic range images noise remove method, device and equipment |
Publications (2)
| Publication Number | Publication Date |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108989678A (en) * | 2018-07-27 | 2018-12-11 | 维沃移动通信有限公司 | A kind of image processing method, mobile terminal |
| CN109348088A (en) * | 2018-11-22 | 2019-02-15 | Oppo广东移动通信有限公司 | Image denoising method, device, electronic equipment and computer readable storage medium |
| CN109348212A (en) * | 2018-09-28 | 2019-02-15 | 维沃移动通信（杭州）有限公司 | A kind of picture noise determines method and terminal device |
| CN109729275A (en) * | 2019-03-14 | 2019-05-07 | Oppo广东移动通信有限公司 | Imaging method, device, terminal and storage medium |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150015774A1 (en) * | 2013-07-11 | 2015-01-15 | Canon Kabushiki Kaisha | IMAGE CAPTURING APPARATUS, CONTROL METHOD, and PROGRAM THEREOF |
| CN104320575A (en) * | 2014-09-30 | 2015-01-28 | 百度在线网络技术（北京）有限公司 | Image processing method and image processing apparatus for portable terminal |
| CN104902143A (en) * | 2015-05-21 | 2015-09-09 | 广东欧珀移动通信有限公司 | Resolution-ratio-based image de-noising method and device |
| CN105100637A (en) * | 2015-08-31 | 2015-11-25 | 联想(北京)有限公司 | Image processing method and electronic equipment |
| CN105306788A (en) * | 2015-10-27 | 2016-02-03 | 广东欧珀移动通信有限公司 | Denoising method and device for photographed image |
| CN105306806A (en) * | 2014-12-22 | 2016-02-03 | 维沃移动通信有限公司 | Mobile terminal and photographing method thereof |
| CN105635575A (en) * | 2015-12-29 | 2016-06-01 | 宇龙计算机通信科技(深圳)有限公司 | Imaging method, imaging device and terminal |
-
2017
- 2017-10-30 CN CN201711036859.8A patent/CN107635098B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150015774A1 (en) * | 2013-07-11 | 2015-01-15 | Canon Kabushiki Kaisha | IMAGE CAPTURING APPARATUS, CONTROL METHOD, and PROGRAM THEREOF |
| CN104320575A (en) * | 2014-09-30 | 2015-01-28 | 百度在线网络技术（北京）有限公司 | Image processing method and image processing apparatus for portable terminal |
| CN105306806A (en) * | 2014-12-22 | 2016-02-03 | 维沃移动通信有限公司 | Mobile terminal and photographing method thereof |
| CN104902143A (en) * | 2015-05-21 | 2015-09-09 | 广东欧珀移动通信有限公司 | Resolution-ratio-based image de-noising method and device |
| CN105100637A (en) * | 2015-08-31 | 2015-11-25 | 联想(北京)有限公司 | Image processing method and electronic equipment |
| CN105306788A (en) * | 2015-10-27 | 2016-02-03 | 广东欧珀移动通信有限公司 | Denoising method and device for photographed image |
| CN105635575A (en) * | 2015-12-29 | 2016-06-01 | 宇龙计算机通信科技(深圳)有限公司 | Imaging method, imaging device and terminal |
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108989678B (en) * | 2018-07-27 | 2021-03-23 | 维沃移动通信有限公司 | Image processing method and mobile terminal |
| CN108989678A (en) * | 2018-07-27 | 2018-12-11 | 维沃移动通信有限公司 | A kind of image processing method, mobile terminal |
| CN109348212A (en) * | 2018-09-28 | 2019-02-15 | 维沃移动通信（杭州）有限公司 | A kind of picture noise determines method and terminal device |
| CN109348088A (en) * | 2018-11-22 | 2019-02-15 | Oppo广东移动通信有限公司 | Image denoising method, device, electronic equipment and computer readable storage medium |
| CN109729275A (en) * | 2019-03-14 | 2019-05-07 | Oppo广东移动通信有限公司 | Imaging method, device, terminal and storage medium |
| CN110072052B (en) * | 2019-04-09 | 2021-08-27 | Oppo广东移动通信有限公司 | Image processing method and device based on multi-frame image and electronic equipment |
| CN110062159A (en) * | 2019-04-09 | 2019-07-26 | Oppo广东移动通信有限公司 | Image processing method, device, electronic equipment based on multiple image |
| US11403740B2 (en) | 2019-04-09 | 2022-08-02 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Method and apparatus for image capturing and processing |
| CN110072052A (en) * | 2019-04-09 | 2019-07-30 | Oppo广东移动通信有限公司 | Image processing method, device, electronic equipment based on multiple image |
| CN110062160A (en) * | 2019-04-09 | 2019-07-26 | Oppo广东移动通信有限公司 | Image processing method and device |
| WO2020207261A1 (en) * | 2019-04-09 | 2020-10-15 | Oppo广东移动通信有限公司 | Image processing method and apparatus based on multiple frames of images, and electronic device |
| WO2020207262A1 (en) * | 2019-04-09 | 2020-10-15 | Oppo广东移动通信有限公司 | Image processing method and apparatus based on multiple frames of images, and electronic device |
| CN110290289B (en) * | 2019-06-13 | 2021-07-09 | Oppo广东移动通信有限公司 | Image noise reduction method and device, electronic equipment and storage medium |
| CN110290289A (en) * | 2019-06-13 | 2019-09-27 | Oppo广东移动通信有限公司 | Image denoising method, device, electronic equipment and storage medium |
| CN110246101A (en) * | 2019-06-13 | 2019-09-17 | Oppo广东移动通信有限公司 | Image processing method and device |
| CN111147695A (en) * | 2019-12-31 | 2020-05-12 | Oppo广东移动通信有限公司 | Image processing method, image processor, photographing device and electronic equipment |
| CN111583144A (en) * | 2020-04-30 | 2020-08-25 | 深圳市商汤智能传感科技有限公司 | Image noise reduction method and device, electronic equipment and storage medium |
| CN111583144B (en) * | 2020-04-30 | 2023-08-25 | 深圳市商汤智能传感科技有限公司 | Image noise reduction method and device, electronic equipment and storage medium |
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