CN107635098B - High dynamic range images noise remove method, device and equipment - Google Patents
High dynamic range images noise remove method, device and equipment Download PDFInfo
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Abstract
This application discloses a kind of high dynamic range images noise remove method, device and equipments, and wherein method includes: to obtain the corresponding depth of exposure grade of current scene from automatic exposure control system；According to preset depth of exposure grade and noise reduction parameters group corresponding relationship, determine that noise reduction parameters group corresponding with current depth of exposure grade, noise reduction parameters group are predetermined different noise reduction parameters values corresponding from exposure bias values different under same levels of exposure；Different noise reduction parameters values are utilized respectively, noise reduction process is carried out to the corresponding image of the different exposure bias values of acquisition；Fusion treatment is carried out to the corresponding image of 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 exposure under same depth of exposure grade, carry out denoising using different noise reduction parameters, enable shooting image more preferably to retain image detail, improve picture quality, the user experience is improved.
Description
Technical field
This application involves technical field of image processing, in particular to a kind of high dynamic range images noise remove method, dress
It sets and equipment.
Background technique
In general, using camera in terminal device high dynamic range images (High Dynamic Range, referred to as are as follows:
HDR when) screening-mode is taken pictures, since 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.
Currently, when carrying out denoising to multiple image, usually according to the depth of exposure of each frame image, using difference
Noise reduction parameters respectively to each frame image carry out denoising.It has been found that above-mentioned denoising mode, is easy to cause to deficient
Exposure image and overexposure image denoising are incomplete, or denoising degree is too strong, to influence to shoot picture quality.
Summary of the invention
The application is intended to solve above-mentioned one of technological deficiency at least to a certain extent.
For this purpose, 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 exposure under same depth of exposure grade is realized, is carried out at denoising using different noise reduction parameters
Reason enables shooting image more preferably to retain image detail, improves picture quality, the user experience is improved.
Second purpose of the application is to propose a kind of high dynamic range images noise remove device.
The third 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 storage medium.
To achieve the goals above, the high dynamic range images noise remove method of the application first aspect embodiment, packet
It includes: from automatic exposure control system, obtaining the corresponding depth of exposure grade of current scene；According to preset depth of exposure grade
With noise reduction parameters group corresponding relationship, noise reduction parameters group corresponding with current depth of exposure grade, the noise reduction parameters group are determined
For predetermined different noise reduction parameters values corresponding from exposure bias values 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 the corresponding image of the different exposure bias values of acquisition；After noise reduction process
The corresponding image of different exposure bias values carries out fusion treatment, generates the high dynamic range images under the current scene.
To achieve the goals above, the high dynamic range images noise remove device of the application second aspect embodiment, packet
Include: first obtains module, for from automatic exposure control system, obtaining the corresponding depth of exposure grade of current scene；First
Determining module, for according to preset depth of exposure grade and noise reduction parameters group corresponding relationship, determining and current depth of exposure
The corresponding noise reduction parameters group of grade, the noise reduction parameters group are predetermined from different exposure bias values under same levels of exposure
Corresponding difference noise reduction parameters value；Noise reduction process module, for being utilized respectively the different noise reduction parameters values, to acquisition
The corresponding image of different exposure bias values carries out noise reduction process；Generation module, for the different exposure compensatings after noise reduction process
It is worth corresponding image and carries out fusion treatment, generates the high dynamic range images under the current scene.
To achieve the goals above, the terminal device of the application third aspect embodiment, comprising: memory, processor and
Camera module；The camera module, for acquiring the image under current scene；The memory, for storing executable program
Code；The processor is run and the executable journey for reading the executable program code stored in the memory
The corresponding program of sequence code, for realizing high dynamic range images noise remove method described in first aspect embodiment.
To achieve the goals above, the computer readable storage medium of the application fourth aspect embodiment, is stored thereon with
Computer program realizes that high dynamic range images described in first aspect embodiment are made an uproar when the computer program is executed by processor
Sound minimizing technology.
Technical solution disclosed in the present application, has the following beneficial effects:
Through elder generation from automatic exposure control system, the corresponding depth of exposure grade of current scene is obtained, then according to pre-
If depth of exposure grade and noise parameter group corresponding relationship, determine corresponding with current depth of exposure grade noise reduction parameters
Then group is utilized respectively different noise reduction parameters values, carry out noise reduction process to the corresponding image of the different exposure bias values of acquisition, and
Fusion treatment is carried out to the corresponding image of different exposure bias values after noise reduction process, to generate the high dynamic range under current scene
Enclose image.Hereby it is achieved that the image of the different depth of exposure under same depth of exposure grade, using different noise reduction parameters
Denoising is carried out, enables shooting image more preferably to retain image detail, improves picture quality, the user experience is improved.
The additional aspect of the application and advantage will be set forth in part in the description, and will partially become from the following description
It obtains obviously, or recognized by the practice of the application.
Detailed description of the invention
The application is above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments
Obviously 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 schematic diagram according to the high dynamic range images noise remove device of the application one embodiment；
Fig. 4 is the structural schematic diagram according to the high dynamic range images noise remove device of the application another embodiment；
Fig. 5 is the structural schematic diagram according to the terminal device of the application one embodiment.
Specific embodiment
Embodiments herein is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the application, and should not be understood as the limitation to the application.
In order to solve in the related technology, according to the depth of exposure of each frame image, using different noise reduction parameters respectively to each
When frame image carries out denoising, it is easy to cause or denoising degree mistake incomplete to under-exposure image and overexposure image denoising
By force, the problem of influencing shooting picture quality, a kind of high dynamic range images noise remove method is proposed.
High dynamic range images noise remove method provided by the present application, by elder generation from auto exposure system (Automatic
Exposure Control, referred to as are as follows: AEC) in, the corresponding depth of exposure grade of current scene is obtained, then according to preset
Depth of exposure grade and noise reduction parameters corresponding relationship determine noise reduction parameters group corresponding with current depth of exposure grade, wherein
Noise reduction parameters group is predetermined different noise reduction parameters corresponding from exposure bias values different under same levels of exposure, so
After be utilized respectively different noise reduction parameters values, noise reduction process is carried out to the corresponding image of the different exposure bias values of acquisition, and to drop
To make an uproar that treated different, and the corresponding image of exposure bias value carries out fusion treatment, to generate the high dynamic range figure under current scene
Picture.Hereby it is achieved that being carried out to the image of the different depth of exposure under same depth of exposure grade using different noise reduction parameters
Denoising enables shooting image more preferably to retain image detail, improves picture quality, the user experience is improved.
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, the corresponding depth of exposure grade of current scene is obtained.
Specifically, high dynamic range images noise remove method provided by the embodiments of the present application, can be provided by the application
High dynamic range images noise remove device execute, which 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 phone,
Camera, personal computer (personal computer, referred to as PC) etc., the present invention is not especially limited 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 corresponding depth of exposure grade is determined according to above-mentioned yield value.
It should be noted that can also to obtain current scene from AEC corresponding photosensitive in normal exposure for the present embodiment
ISO is spent, and then corresponding depth of exposure grade is determined according to the sensitivity of acquisition.
That is, the application can be existed in the corresponding depth of exposure grade of acquisition current scene by current scene
Corresponding yield value or sensitivity determine when normal exposure.
Step 102, according to preset depth of exposure grade and noise reduction parameters group corresponding relationship, determining and current exposure journey
The corresponding noise reduction parameters group of grade is spent, noise reduction parameters group is divided to be predetermined from different exposure bias values under same levels of exposure
Not corresponding different noise reduction parameters values.
Wherein, in the present embodiment, preset depth of exposure grade and noise reduction parameters group corresponding relationship, can be according to reality
Data foundation is tested, the application is not especially limited this.
Specifically, can be by the depth of exposure grade obtained in step 101 and preset depth of exposure grade and noise reduction parameters
Group corresponding relationship is inquired, to determine 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
4, class 5 and class 6.
If the HDR image of a certain scene is when shooting, the depth of exposure of normal exposure image a belongs to grade 3, under-exposure figure
As the depth of exposure of b belongs to grade 1 and overexposure light image c depth of exposure belongs to class 5.
If so using the prior art, since each depth of exposure grade respectively corresponds 1 noise reduction parameters, so that it is determined that
The noise reduction parameters of above-mentioned 3 frame image are respectively that the corresponding noise reduction parameters of grade 3, the corresponding noise reduction parameters of grade 1 and class 5 are corresponding
Noise reduction parameters.
And the technical solution of the application is used, it is first when determining the corresponding noise reduction parameters of above-mentioned three frames image
According to the depth of exposure of the image a of normal exposure, determines that the corresponding levels of exposure of current scene is grade 3, then search again and 3
Deficient exposure image, normal exposure image and the corresponding noise reduction parameters of overexposure image under this corresponding levels of exposure of grade.
It can be seen that the application is when determining the corresponding different noise reduction parameters values of different exposure bias values, it is first to exist
In multiple depth of exposure grades, determine with the matched grade of current scene depth of exposure, then obtain the levels of exposure pair again
The noise reduction parameters group answered, rather than to the corresponding image of 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 acurrate, more reasonable.
Step 103, different noise reduction parameters values are utilized respectively, the corresponding image of different exposure bias values of acquisition is dropped
It makes an uproar processing.
Specifically, the application can be utilized respectively above-mentioned after determining the corresponding noise reduction parameters group of current yield value
The noise reduction parameters value for the normal exposure image for including in noise reduction parameters group, the noise reduction parameters value of under-exposure image and overexposure
The noise reduction parameters value of image carries out the normal exposure image, under-exposure image and overexposure light image shot under current scene
Noise reduction process.
Step 104, fusion treatment is carried out to the corresponding image of different exposure bias values after noise reduction process, worked as described in generation
High dynamic range images under preceding scene.
Specifically, being carried out at noise reduction in under-exposure image, normal exposure image and the overexposure light image to current scene
After reason, under-exposure image, normal exposure image and the overexposure light image after noise reduction process 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, corresponding by obtaining current scene
Depth of exposure grade determines the corresponding noise reduction parameters group of current depth of exposure grade, then utilizes determining noise reduction parameters group
Middle different noise reduction parameters value carries out noise reduction process to the corresponding image of exposure bias values different under current scene, and by noise reduction
Treated, and the corresponding image of difference exposure bias value is merged, and obtains the high dynamic range images under present image, thus
When effectively preventing carrying out noise reduction process using traditional denoising mode image different to depth of exposure, existing denoising is incomplete
Or the problem that denoising is too strong, 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, the corresponding depth of exposure grade of current scene is obtained, then according to pair of preset depth of exposure grade and noise parameter group
It should be related to, determine noise reduction parameters group corresponding with current depth of exposure grade, be then utilized respectively different noise reduction parameters values, it is right
The corresponding image of 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 reasonable denoising, enables shooting image more preferably to retain image detail, improves
Picture quality, the user experience is improved.
By above-mentioned analysis it is found that the application is by obtaining the corresponding depth of exposure grade of current scene, it is current right to determine
Then the noise reduction parameters group answered utilizes the different noise reduction parameters in noise reduction parameters group, image corresponding to different exposure bias values
Carry out noise reduction process.Below with reference to Fig. 2, to the depth of exposure grade and noise reduction parameters group corresponding relationship 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 group under different depth of exposure grades is obtained, wherein
It include normal exposure image, under-exposure image and overexposure light image in every group of image.
Step 202, noise calculation is carried out to image group corresponding under different depth of exposure grades respectively, determines depth of exposure
Grade and noise reduction parameters group corresponding relationship.
It should be noted that standard light both can simulate a variety of shooting environmentals, it can mention due in practical applications
For different brightness values, therefore the application can be using the different brightness of standard light both offer, to obtain different depth of exposure etc.
Noise reduction parameters group under grade, and establish the corresponding relationship of corresponding depth of exposure grade and noise reduction parameters group.
When specific implementation, the present embodiment can obtain colour atla in different exposure journeys by adjusting the brightness value of standard light both
Corresponding image group under grade is spent, wherein including normal exposure image, under-exposure image and overexposure light image in every group of image；
Then, noise calculation is carried out to image group corresponding under different depth of exposure grades respectively, determines depth of exposure etc.
Grade and noise reduction parameters group corresponding relationship.
It wherein, can be to normal in each grade in the case where getting different depth of exposure grades after corresponding image group
Exposure image, under-exposure image and overexposure light image carry out noise calculation respectively, to obtain normal exposure image under the grade, owe
Exposure image and the corresponding noise reduction parameters value of 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 normal exposure
Light image carries out noise calculation to under-exposure image and overexposure light image.
Then, according to above-mentioned calculated noise reduction parameters group, 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, the corresponding depth of exposure grade of current scene is determined.
Step 205, according to the depth of exposure grade of foundation and noise reduction parameters group corresponding relationship, determining and current exposure journey
The corresponding noise reduction parameters group of grade is spent, noise reduction parameters group is divided to be predetermined from different exposure bias values under same levels of exposure
Not corresponding different noise reduction parameters values.
Step 206, different noise reduction parameters values are utilized respectively, the corresponding image of different exposure bias values of acquisition is dropped
It makes an uproar processing.
Step 207, fusion treatment is carried out to the corresponding image of different exposure bias values after noise reduction process, front court is worked as in generation
High dynamic range images under scape.
In the high dynamic range images noise remove method of the embodiment of the present application, by using standard light both to colour atla into
Then the shooting of the different depth of exposure of row carries out noise calculation to every frame image in image group to obtain corresponding image group
Corresponding noise reduction parameters value is obtained, the corresponding pass between depth of exposure grade and noise reduction parameters group is then established according to depth of exposure
System, and then in the depth of exposure grade for getting current scene, it can be directly in the depth of exposure grade and noise reduction parameters of foundation
In group corresponding relationship, determines the corresponding noise reduction parameters group of corresponding with current scene depth of exposure grade, then utilize noise reduction
Different noise reduction parameters values in parameter group carry out noise reduction process to the corresponding image of exposure bias values different in current scene, thus
So that it is higher using the image co-registration high dynamic range images quality after noise reduction process, it can more show more image details,
The user experience is improved.
In order to realize above-described embodiment, the invention also provides a kind of high dynamic range images noise remove devices.
Fig. 3 is the structural schematic diagram 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: the first acquisition module 11, first
Determining module 12, noise reduction process module 13 and generation module 14.
Wherein, first module 11 is obtained for from automatic exposure control system, obtaining the corresponding exposure journey of current scene
Spend grade；
Specifically, the 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, the corresponding depth of exposure grade of the current scene is determined.
First determining module 12 is used to determine and work as according to preset depth of exposure grade and noise reduction parameters group corresponding relationship
The corresponding noise reduction parameters group of preceding depth of exposure grade, the noise reduction parameters group be it is predetermined with same levels of exposure under not
The corresponding difference noise reduction parameters value with exposure bias value；
Noise reduction process module 13 is for being 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 fusion treatment to the corresponding image of different exposure bias values after noise reduction process, generates
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, further includes: second obtains module 15 and the second determining module 16.
Wherein, second module 15 is obtained for it is right under different depth of exposure grades to obtain colour atla in standard light both
The image group answered, wherein including normal exposure image, under-exposure image and overexposure light image in every group of image；
Further, in another embodiment of the application, the second acquisition module 15 is specifically included:
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 for carrying out noise meter to corresponding image group under the different depth of exposure grades respectively
It calculates, determines the depth of exposure grade and noise reduction parameters group corresponding relationship.
It should be noted that the aforementioned 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, realization principle is similar, and details are not described herein again.
In high dynamic range images noise remove device provided in this embodiment, by elder generation from automatic exposure control system
In, the corresponding depth of exposure grade of current scene is obtained, then according to pair of preset depth of exposure grade and noise parameter group
It should be related to, determine noise reduction parameters group corresponding with current depth of exposure grade, be then utilized respectively different noise reduction parameters values, it is right
The corresponding image of 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 same depth of exposure
The image of different depth of exposure under grade carries out denoising using different noise reduction parameters, enables and shoot image more
Retain image detail well, improve picture quality, the user experience is improved.
In order to realize above-described embodiment, the present invention also proposes a kind of terminal device.
Fig. 5 is the structural schematic diagram 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 acquire the image under current scene；
The memory 21 is for storing executable program code；
The processor 22 be used to read the executable program code that stores in the memory 21 run with it is described can
The corresponding program of program code is executed, for realizing high dynamic range images noise remove side described in first aspect embodiment
Method.Wherein high dynamic range images noise remove method includes: that it is corresponding to obtain current scene from automatic exposure control system
Depth of exposure grade；According to preset depth of exposure grade and noise reduction parameters group corresponding relationship, determining and current depth of exposure
The corresponding noise reduction parameters group of grade, the noise reduction parameters group are predetermined from different exposure bias values under same levels of exposure
Corresponding difference noise reduction parameters value；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 is carried out to the corresponding image of different exposure bias values after noise reduction process, is generated
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 phone,
Camera, personal computer (personal computer, referred to as PC) etc., the present invention is not especially limited this.
It should be noted that the aforementioned explanation to high dynamic range images noise remove embodiment of the method is also applied for
The terminal device of the embodiment, realization principle is similar, and details are not described herein again.
In terminal device provided in this embodiment, through elder generation from automatic exposure control system, it is corresponding to obtain current scene
Depth of exposure grade, then according to the corresponding relationship of preset depth of exposure grade and noise parameter group, it is determining with it is current
The corresponding noise reduction parameters group of depth of exposure grade, is then utilized respectively different noise reduction parameters values, to the different exposure compensatings of acquisition
It is worth corresponding image and carries out noise reduction process, and the corresponding image of 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 being exposed to the difference under same depth of exposure grade
The image of degree carries out denoising using different noise reduction parameters, enables shooting image more preferably to retain image detail, mentions
High picture quality, the user experience is improved.
In order to realize above-described embodiment, the invention also provides a kind of computer readable storage mediums.
The computer readable storage medium, is stored thereon with computer program, which 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, the corresponding depth of exposure grade of current scene is obtained；According to preset depth of exposure grade with
Noise reduction parameters group corresponding relationship determines that noise reduction parameters group corresponding with current depth of exposure grade, the noise reduction parameters group are
Predetermined different noise reduction parameters values corresponding from exposure bias values different under same levels of exposure；It is utilized respectively described
Different noise reduction parameters values carry out noise reduction process to the corresponding image of the different exposure bias values of acquisition；To after noise reduction process not
With exposure bias value, corresponding image carries out fusion treatment, generates the high dynamic range images under the current scene.
In the present invention unless specifically defined or limited otherwise, the terms such as term " setting ", " connection " should do broad sense reason
Solution, for example, it may be mechanical connection, is also possible to be electrically connected；It can be directly connected, the indirect phase of intermediary can also be passed through
Even, the connection inside two elements or the interaction relationship of two elements be can be, unless otherwise restricted clearly.For this
For the those of ordinary skill in field, the specific meanings of the above terms in the present invention can be understood according to specific conditions.
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 spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include at least one this feature.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
Storage medium mentioned above can be read-only memory, disk or CD etc..Although having been shown and retouching above
The embodiment of the present invention is stated, it is to be understood that above-described embodiment is exemplary, and should not be understood as to limit of the invention
System, those skilled in the art can make changes, modifications, alterations, and variations to the above described embodiments within the scope of the invention.
Claims (8)
1. a kind of high dynamic range images noise remove method characterized by comprising
The corresponding image of different exposure bias values shot under Same Scene is obtained, including deficient exposure image, normal exposure figure
Picture and overexposure image；
From multiple and different depth of exposure grades of automatic exposure control system, the sensitivity of the normal exposure image is obtained
(ISO) corresponding depth of exposure grade, as the corresponding depth of exposure grade of current scene；
According to preset depth of exposure grade and noise reduction parameters group corresponding relationship, determination is corresponding with current depth of exposure grade
Noise reduction parameters group, the noise reduction parameters group are predetermined right respectively from different exposure bias values under same depth of exposure grade
The different noise reduction parameters values answered, different depth of exposure grades correspond to different noise reduction parameters groups, and each noise reduction parameters group includes should
The noise reduction of the noise reduction parameters value of normal exposure image, the deficient noise reduction parameters value for exposing image and overexposure image under depth of exposure grade
Parameter value；
Noise reduction parameters value, deficient exposure image to the normal exposure image shot under current scene using determining normal exposure image
The noise reduction parameters of the overexposure image of overexposure image are utilized using the noise reduction parameters value of determining deficient exposure image and overexposure light image
Value carries out noise reduction process；
Fusion treatment is carried out to the corresponding image of 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, which is characterized in that determination noise reduction corresponding with current depth of exposure grade
Before parameter group, further includes:
In standard light both, colour atla corresponding image group under different depth of exposure grades is obtained, wherein wrapping in every group of image
Include normal exposure image, under-exposure image and overexposure light image；
Noise calculation is carried out to corresponding image group under the different depth of exposure grades respectively, determines the depth of exposure grade
With noise reduction parameters group corresponding relationship.
3. method according to claim 2, which is characterized in that the acquisition colour atla is corresponding under different depth of exposure grades
Image group, comprising:
By adjusting the brightness value of the standard light both, colour atla corresponding image group under different depth of exposure grades is obtained.
4. a kind of high dynamic range images noise remove device characterized by comprising
First obtains module, for obtaining the corresponding image of different exposure bias values shot under Same Scene, including deficient
Expose image, normal exposure image and overexposure image；From multiple and different depth of exposure grades of automatic exposure control system, obtain
The corresponding depth of exposure grade of sensitivity (ISO) for taking the normal exposure image, as the corresponding depth of exposure of current scene
Grade；
First determining module is used for according to preset depth of exposure grade and noise reduction parameters group corresponding relationship, determining and current
The corresponding noise reduction parameters group of depth of exposure grade, the noise reduction parameters group be it is predetermined with same depth of exposure grade under not
With exposure bias value, corresponding difference noise reduction parameters value, different depth of exposure grades correspond to different noise reduction parameters groups, often
A noise reduction parameters group includes the noise reduction parameters value of normal exposure image under the depth of exposure grade, owes to expose the noise reduction parameters value of image
And the noise reduction parameters value of overexposure image；
Noise reduction process module, for the drop to the normal exposure image shot under current scene using determining normal exposure image
Make an uproar parameter value, owe to expose the mistake that image utilizes overexposure image using the noise reduction parameters value of determining deficient exposure image and overexposure light image
The noise reduction parameters value for exposing image carries out noise reduction process；
Generation module, for carrying out fusion treatment to the corresponding image of different exposure bias values after noise reduction process, described in generation
High dynamic range images under current scene.
5. device as claimed in claim 4, which is characterized in that further include:
Second obtains module, for obtaining colour atla corresponding image group under different depth of exposure grades in standard light both,
It wherein include normal exposure image, under-exposure image and overexposure light image in every group of image；
Second determining module, for carrying out noise calculation to corresponding image group under the different depth of exposure grades respectively, really
The fixed depth of exposure grade and noise reduction parameters group corresponding relationship.
6. device as claimed in claim 5, which is characterized in that described second obtains module, specifically includes:
By adjusting the brightness value of the standard light both, colour atla corresponding image group under different depth of exposure grades is obtained.
7. a kind of terminal device characterized by comprising memory, processor and camera module；
The camera module, for acquiring the image under current scene；
The memory, for storing executable program code；
The processor is run and the executable program for reading the executable program code stored in the memory
The corresponding program of code, for realizing high dynamic range images noise remove method a method according to any one of claims 1-3.
8. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program is located
Reason device realizes high dynamic range images noise remove method a method according to any one of claims 1-3 when executing.
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| CN108989678B (en) * | 2018-07-27 | 2021-03-23 | 维沃移动通信有限公司 | Image processing method and mobile terminal |
| CN109348212B (en) * | 2018-09-28 | 2020-07-21 | 维沃移动通信（杭州）有限公司 | Image noise determination method and terminal equipment |
| CN109348088B (en) * | 2018-11-22 | 2021-05-11 | Oppo广东移动通信有限公司 | Image noise reduction method and 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 |
| 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 |
| 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 |
| CN110062160B (en) * | 2019-04-09 | 2021-07-02 | Oppo广东移动通信有限公司 | Image processing method and 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 |
| CN110246101B (en) * | 2019-06-13 | 2023-03-28 | Oppo广东移动通信有限公司 | Image processing method and device |
| CN111147695B (en) * | 2019-12-31 | 2022-05-13 | Oppo广东移动通信有限公司 | Image processing method, image processor, shooting device and electronic equipment |
| 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 |
| CN113538265A (en) * | 2021-07-06 | 2021-10-22 | Oppo广东移动通信有限公司 | Image denoising method and device, computer readable medium and electronic device |
| CN115942125A (en) * | 2021-09-26 | 2023-04-07 | Oppo广东移动通信有限公司 | Multi-exposure image processing method and device and noise reduction circuit |
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| CN104320575B (en) * | 2014-09-30 | 2019-01-15 | 百度在线网络技术（北京）有限公司 | A kind of image processing method and image processing apparatus for portable terminal |
| CN105306806B (en) * | 2014-12-22 | 2019-01-29 | 维沃移动通信有限公司 | A kind of mobile terminal and its method taken pictures |
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| CN105306788B (en) * | 2015-10-27 | 2018-05-15 | 广东欧珀移动通信有限公司 | A kind of noise-reduction method and device of image of taking pictures |
| CN105635575B (en) * | 2015-12-29 | 2019-04-12 | 宇龙计算机通信科技(深圳)有限公司 | Imaging method, imaging device and terminal |
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