CN108961188A - A kind of image quality Enhancement Method, system and device - Google Patents
A kind of image quality Enhancement Method, system and device Download PDFInfo
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- 238000006243 chemical reaction Methods 0.000 claims description 4
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- G06T5/70—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4038—Scaling the whole image or part thereof for image mosaicing, i.e. plane images composed of plane sub-images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20028—Bilateral filtering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
Abstract
The invention discloses a kind of image quality Enhancement Method, system and device, method includes: to be filtered to image to be reinforced；Picture quality enhancement processing is carried out to the image to be reinforced after filtering processing；Region division is carried out to picture quality enhancement treated image, obtains multiple images region；Multiple images region is analyzed, the image-region of enhancing and the image-region of weak enhancing is obtained；Processing is optimized to the image-region of the image-region and weak enhancing of crossing enhancing；Image-region after optimization processing is spliced, the complete image after generating picture quality enhancement；System includes filter module, picture quality enhancement module, region division module, analysis module, optimization processing module and splicing module, and device includes memory and processor.The present invention solves the problems, such as that image enhancement is slow in the prior art, improves the efficiency of image quality enhancing, can be widely applied to technical field of image processing.
Description
Technical field
The present invention relates to technical field of image processing, especially a kind of image quality Enhancement Method, system and device.
Background technique
Digital Image Processing rapidly develops into independent have powerful vitality in 40 years
Section.Wherein, image enhancement technique is gradually related to the various aspects of human lives and social production, such as: aerospace field,
Field of biomedicine, field of industrial production and public safety field etc..Image enhancement specifically refers to the useful letter in enhancing image
Breath, it can be the process of a distortion, and final purpose is will be for given image application, to improve the view of image
Feel effect.
Traditional image enchancing method first analyzes the color information of image and edge data, then according to setting
Enhancing scale unified enhancing is carried out to all areas of image, such as carry out edge sharpening, contrast is promoted and saturation degree mentions
Rise etc., this traditional image enchancing method is easy to cause the partial region of image to enhance excessively, and other region then increases
Strong insufficient, reinforcing effect is poor, not balanced enough.To solve the above-mentioned problems, the prior art proposes that a kind of new image quality increases
Strong method, this method carry out region division to whole image, then identify to each region of division, then according to identification
As a result, carrying out image enhancement using different enhancing scales, finally enhanced each region is overlapped, this method solution
The poor problem of traditional images Enhancement Method effect of having determined, but the step of this method increase region recognitions, cause image to increase
Strong speed is slower, inefficient, is not suitable for the picture quality enhancement of amount of images more (such as dynamic image).
Summary of the invention
In order to solve the above technical problems, it is an object of the invention to: a kind of higher image quality enhancing side of efficiency is provided
Method, system and device.
First technical solution adopted by the present invention is:
A kind of image quality Enhancement Method, comprising the following steps:
Image to be reinforced is filtered；
Picture quality enhancement processing is carried out to the image to be reinforced after filtering processing；
Region division is carried out to picture quality enhancement treated image, obtains multiple images region；
Multiple images region is analyzed, the image-region of enhancing and the image-region of weak enhancing is obtained；
Processing is optimized to the image-region of the image-region and weak enhancing of crossing enhancing；
Image-region after optimization processing is spliced, the complete image after generating picture quality enhancement.
Further, described the step for image to be reinforced is filtered, specifically:
Successively use box filter method, mean filter method, gaussian filtering method, median filter method, bilateral filtering
Method and Steerable filter method are filtered image to be reinforced.
Further, described the step for image to be reinforced is filtered using gaussian filtering method, including it is following
Step:
By carrying out discretization to Gaussian function, multiple discrete points are obtained；
According to multiple discrete points, corresponding Gaussian function numerical value is obtained；
Obtain the pixel number evidence of image to be reinforced；
By the pixel number of image to be reinforced according to matching with Gaussian function numerical value, each pixel number is obtained according to correspondence
Gaussian function numerical value；
According to matching result, using corresponding Gaussian function numerical value as weight, to each of image to be reinforced pixel
Do weighted average processing.
Further, the step for image to be reinforced after described pair of filtering processing carries out picture quality enhancement processing, including it is following
Step:
First gray value transformation is carried out to image to be reinforced using linear function；
According to the transformation of the first gray value as a result, carrying out the second gray value change to image to be reinforced using nonlinear function
It changes；
According to the transformation of the second gray value as a result, obtaining the histogram of image to be reinforced；
By integrating probability density function, probability density conversion is carried out to the histogram of image to be reinforced, obtains image quality increasing
Image after strong.
Further, described that region division is carried out to picture quality enhancement treated image, obtain this step of multiple images region
Suddenly, specifically:
Using the image partition method based on geometrical model, to picture quality enhancement, treated that image carries out region division, obtains
To multiple images region.
Further, described that multiple images region is analyzed, the image-region of enhancing and the image of weak enhancing is obtained
The step for region, comprising the following steps:
Judge whether the Y-PSNR of image-region is greater than first threshold, if so, the image-region was labeled as
The image-region of enhancing；Conversely, then performing the next step rapid；
Judge whether the Y-PSNR of image-region is less than second threshold, if so, by the image-region labeled as weak
The image-region of enhancing；Conversely, not dealing with then.
Further, the step for described pair of image-region for crossing the image-region and weak enhancing that enhance optimizes processing,
The following steps are included:
Using mean value method, processing is averaged to the grey scale pixel value for the image-region for crossing enhancing；
Using maximum value process, maximization processing is carried out to the grey scale pixel value of the image-region of weak enhancing.
Further, the image-region to after optimization processing splices, generate picture quality enhancement after complete image this
One step, specifically:
Using the method based on aspect ratio pair, the image-region after optimization processing is spliced, after generating picture quality enhancement
Complete image.
Second technical solution adopted by the present invention is:
A kind of image quality enhancing system, comprising:
Filter module, for being filtered to image to be reinforced；
Picture quality enhancement module, for carrying out picture quality enhancement processing to the image to be reinforced after filtering processing；
Region division module obtains multiple images region for carrying out region division to picture quality enhancement treated image；
The image-region of enhancing and the figure of weak enhancing is obtained for analyzing multiple images region in analysis module
As region；
Optimization processing module optimizes processing for the image-region to the image-region and weak enhancing of crossing enhancing；
Splicing module, for splicing to the image-region after optimization processing, the complete image after generating picture quality enhancement.
Third technical solution adopted by the present invention is:
A kind of image quality enhancement device, comprising:
Memory, for storing program；
Processor is used for loading procedure, to execute a kind of image quality Enhancement Method as described in the first technical solution.
The beneficial effects of the present invention are: the present invention by image to be reinforced is filtered and picture quality enhancement handle,
Then region division is carried out to image, and processing is optimized to the image-region after division, finally spell image-region
It connects, the image after obtaining complete picture quality enhancement；The present invention is not necessarily to that image is divided and known before image quality enhancing
Not, directly whole image can be enhanced, then parts of images is optimized, solve image enhancement in the prior art
Slow problem improves the efficiency of image quality enhancing.
Detailed description of the invention
Fig. 1 is a kind of step flow chart of image quality Enhancement Method of the present invention；
Fig. 2 is the effect comparison chart of image quality enhancing front and back in the embodiment of the present invention.
Specific embodiment
The present invention is further explained and is illustrated with specific embodiment with reference to the accompanying drawings of the specification.For of the invention real
The step number in example is applied, is arranged only for the purposes of illustrating explanation, any restriction is not done to the sequence between step, is implemented
The execution sequence of each step in example can be adaptively adjusted according to the understanding of those skilled in the art.
Referring to Fig.1, a kind of image quality Enhancement Method of the present invention, comprising the following steps:
Image to be reinforced is filtered；
Picture quality enhancement processing is carried out to the image to be reinforced after filtering processing；
Region division is carried out to picture quality enhancement treated image, obtains multiple images region；
Multiple images region is analyzed, the image-region of enhancing and the image-region of weak enhancing is obtained；
Processing is optimized to the image-region of the image-region and weak enhancing of crossing enhancing；
Image-region after optimization processing is spliced, the complete image after generating picture quality enhancement.
It is further used as preferred embodiment, it is described the step for image to be reinforced is filtered, specific
Are as follows:
Successively use box filter method, mean filter method, gaussian filtering method, median filter method, bilateral filtering
Method and Steerable filter method are filtered image to be reinforced.
It is further used as preferred embodiment, it is described that image to be reinforced is filtered using gaussian filtering method
The step for, comprising the following steps:
By carrying out discretization to Gaussian function, multiple discrete points are obtained；
According to multiple discrete points, corresponding Gaussian function numerical value is obtained；
Obtain the pixel number evidence of image to be reinforced；
By the pixel number of image to be reinforced according to matching with Gaussian function numerical value, each pixel number is obtained according to correspondence
Gaussian function numerical value；
According to matching result, using corresponding Gaussian function numerical value as weight, to each of image to be reinforced pixel
Do weighted average processing.
It is further used as preferred embodiment, the image to be reinforced after described pair of filtering processing carries out picture quality enhancement processing
The step for, comprising the following steps:
First gray value transformation is carried out to image to be reinforced using linear function；
According to the transformation of the first gray value as a result, carrying out the second gray value change to image to be reinforced using nonlinear function
It changes；
According to the transformation of the second gray value as a result, obtaining the histogram of image to be reinforced；
By integrating probability density function, probability density conversion is carried out to the histogram of image to be reinforced, obtains image quality increasing
Image after strong.
It is further used as preferred embodiment, described treated that image carries out region division to picture quality enhancement, obtains
The step for multiple images region, specifically:
Using the image partition method based on geometrical model, to picture quality enhancement, treated that image carries out region division, obtains
To multiple images region.
It is further used as preferred embodiment, it is described that multiple images region is analyzed, the image of enhancing is obtained
The step for image-region of region and weak enhancing, comprising the following steps:
Judge whether the Y-PSNR of image-region is greater than first threshold, if so, the image-region was labeled as
The image-region of enhancing；Conversely, then performing the next step rapid；
Judge whether the Y-PSNR of image-region is less than second threshold, if so, by the image-region labeled as weak
The image-region of enhancing；Conversely, not dealing with then.
It is further used as preferred embodiment, the image-region progress of the described pair of image-region for crossing enhancing and weak enhancing
The step for optimization processing, comprising the following steps:
Using mean value method, processing is averaged to the grey scale pixel value for the image-region for crossing enhancing；
Using maximum value process, maximization processing is carried out to the grey scale pixel value of the image-region of weak enhancing.
It is further used as preferred embodiment, the image-region to after optimization processing splices, and generates image quality
The step for enhanced complete image, specifically:
Using the method based on aspect ratio pair, the image-region after optimization processing is spliced, after generating picture quality enhancement
Complete image.
Corresponding with the method for Fig. 1, a kind of image quality of the present invention enhances system, comprising:
Filter module, for being filtered to image to be reinforced；
Picture quality enhancement module, for carrying out picture quality enhancement processing to the image to be reinforced after filtering processing；
Region division module obtains multiple images region for carrying out region division to picture quality enhancement treated image；
The image-region of enhancing and the figure of weak enhancing is obtained for analyzing multiple images region in analysis module
As region；
Optimization processing module optimizes processing for the image-region to the image-region and weak enhancing of crossing enhancing；
Splicing module, for splicing to the image-region after optimization processing, the complete image after generating picture quality enhancement.
It is corresponding with the method for Fig. 1, a kind of image quality enhancement device of the present invention, comprising:
Memory, for storing program；
Processor is used for loading procedure, to execute a kind of image quality Enhancement Method of the invention.
For the method spliced below using feature comparison method as image-region, image quality of the invention is discussed in detail
The specific implementation step of Enhancement Method:
S1, image to be reinforced is filtered；
Wherein, smoothing or filtering operation that the noise contribution in image is called image are eliminated.The energy of signal or image
The low frequency and Mid Frequency for being largely focused on amplitude spectrum are very common, and in higher frequency band, interested information is often made an uproar
Sound floods.Therefore, a filter that can reduce radio-frequency component amplitude can weaken the influence of noise.The present invention is by successively
Using box filter method, mean filter method, gaussian filtering method, median filter method, bilateral filtering method and guiding filter
Wave method is filtered image to be reinforced, can be simultaneously by high frequency imaging signal, the intermediate frequency figure of entire image to be reinforced
As filtering out in signal and low-frequency image signal, the effect of filtering processing is substantially increased.
Wherein, described the step for image to be reinforced is filtered using gaussian filtering method, including following step
It is rapid:
S11, by Gaussian function carry out discretization, obtain multiple discrete points；
S12, according to multiple discrete points, obtain corresponding Gaussian function numerical value；
S13, the pixel number evidence for obtaining image to be reinforced；
S14, the pixel number evidence of image to be reinforced is matched with Gaussian function numerical value, obtains each pixel number evidence
Corresponding Gaussian function numerical value；
S15, according to matching result, using corresponding Gaussian function numerical value as weight, to each of image to be reinforced picture
Vegetarian refreshments is cooked weighted average processing.
Gaussian filtering (Gaussian smoothing) is a kind of linear smoothing filtering, is suitable for eliminating Gaussian noise, is widely used in figure
As the noise abatement process of processing, the present invention has increased step S14 newly on the basis of existing gaussian filtering technology, for different pictures
Vegetarian refreshments improves the accuracy of weighted average processing using different Gaussian function numerical value as corresponding weight.
S2, picture quality enhancement processing is carried out to the image to be reinforced after filtering processing；
Wherein, step S2 specifically includes the following steps:
S21, the first gray value transformation is carried out to image to be reinforced using linear function；The present invention can by step S21
The contrast of image to be reinforced is drawn high.
S22, according to the first gray value transformation as a result, using nonlinear function to image to be reinforced carry out the second gray value
Transformation；The present invention can carry out interested image-region (such as image subject part) by step S21 and step S22
Broadening, compresses uninterested image-region (such as background parts of image), to achieve the effect that image enhancement.
S23, according to the second gray value transformation as a result, obtaining the histogram of image to be reinforced；
S24, pass through integral probability density function, probability density conversion is carried out to the histogram of image to be reinforced, obtains picture
The enhanced image of matter.It is close that the present invention by practical integral probability density function converts probability for the histogram of image to be reinforced
The image that degree is 1, to improve the contrast of image.
S3, region division is carried out to picture quality enhancement treated image, obtains multiple images region；
Wherein, step S3 specifically: use the image partition method based on geometrical model, to picture quality enhancement treated figure
As carrying out region division, multiple images region is obtained.
The present invention is by establishing energy equation, the energy equation includes based on curve evolvement theory and Level Set Method
External force energy equation and internal force energy equation come particular by the balance found between external force energy and internal force energy to image
It is deformed.
S4, multiple images region is analyzed, the image-region of enhancing and the image-region of weak enhancing is obtained；
Wherein, step S4 specifically includes the following steps:
S41, judge whether the Y-PSNR of image-region is greater than first threshold, if so, the image-region is marked
For the image-region for crossing enhancing；Conversely, then performing the next step rapid；
S42, judge whether the Y-PSNR of image-region is less than second threshold, if so, the image-region is marked
For the image-region of weak enhancing；Conversely, not dealing with then.
The present invention distinguishes image-region by judging the Y-PSNR of image-region, and judgment method is simple,
It only needs to deposit using a small amount of fortune, treatment effeciency is fast.
S5, processing is optimized to the image-region of the image-region and weak enhancing of crossing enhancing；
Wherein, step S5 specifically includes the following steps:
S51, using mean value method, processing is averaged to the grey scale pixel value for the image-region for crossing enhancing；
S52, using maximum value process, maximization processing is carried out to the grey scale pixel value of the image-region of weak enhancing.
Wherein, the calculation formula of mean value method are as follows: R=G=B=(R+G+B)/3, R, G, B respectively represent RGB three
Color Channel.
The calculation formula of maximum value process are as follows: R=G=B=Max (R, G, B).
The present invention reduces the brightness of image-region by handling averagely, improves image-region by maximum value process
Brightness, and then realize the optimization processing to all image-regions.
S6, the image-region after optimization processing is spliced, the complete image after generating picture quality enhancement.
Wherein, step S6 specifically: use the method based on aspect ratio pair, the image-region after optimization processing is spelled
It connects, the complete image after generating picture quality enhancement.This method calculates the ash between two image-regions by using HARRIS angle point
Angle value similarity obtains the characteristic information such as gradient direction according to grey value similarity, and then obtains one group of optimal feature
Matching organizes optimal characteristic matching by this, finds the splicing relationship between image two-by-two using recursive algorithm, and final realize is spelled
It connects to obtain whole image.
Referring to Fig. 2, by taking doll machine grabs game as an example, image quality Enhancement Method, system and device through the invention,
Script can be obscured and the lower image 1 (manipulator for grabbing doll) of contrast is enhanced to high contrast and texture is significantly schemed
As 2.
In conclusion a kind of image quality Enhancement Method of the present invention, system and device have the advantage that
1), the present invention, can be directly to entire figure it is not necessary that image is divided and identified before image quality enhancing
As being enhanced, then parts of images is optimized, solves the problems, such as that image enhancement is slow in the prior art, is improved
The efficiency of image quality enhancing.
2), the present invention is by successively using box filter method, mean filter method, gaussian filtering method, median filtering
Method, bilateral filtering method and Steerable filter method are filtered image to be reinforced, can simultaneously will be entire to be reinforced
Filtering out in the high frequency imaging signal of image, medium frequency image signal and low-frequency image signal, substantially increases the effect of filtering processing
Fruit.
3), the present invention is on the basis of existing gaussian filtering technology, increased newly by the pixel number of image to be reinforced according to
The step of Gaussian function numerical value is matched, for different pixels, using different Gaussian function numerical value as corresponding weight,
Improve the accuracy of weighted average processing.
4), the present invention distinguishes image-region by judging the Y-PSNR of image-region, judgment method letter
It is single, it is only necessary to be deposited using a small amount of fortune, treatment effeciency is fast.
It is to be illustrated to preferable implementation of the invention, but the present invention is not limited to the embodiment above, it is ripe
Various equivalent deformation or replacement can also be made on the premise of without prejudice to spirit of the invention by knowing those skilled in the art, this
Equivalent deformation or replacement are all included in the scope defined by the claims of the present application a bit.
Claims (10)
1. a kind of image quality Enhancement Method, it is characterised in that: the following steps are included:
Image to be reinforced is filtered；
Picture quality enhancement processing is carried out to the image to be reinforced after filtering processing；
Region division is carried out to picture quality enhancement treated image, obtains multiple images region；
Multiple images region is analyzed, the image-region of enhancing and the image-region of weak enhancing is obtained；
Processing is optimized to the image-region of the image-region and weak enhancing of crossing enhancing；
Image-region after optimization processing is spliced, the complete image after generating picture quality enhancement.
2. a kind of image quality Enhancement Method according to claim 1, it is characterised in that: described to be carried out to image to be reinforced
The step for filtering processing, specifically:
Successively use box filter method, mean filter method, gaussian filtering method, median filter method, bilateral filtering method
Image to be reinforced is filtered with Steerable filter method.
3. a kind of image quality Enhancement Method according to claim 2, it is characterised in that: described to use gaussian filtering method
The step for image to be reinforced is filtered, comprising the following steps:
By carrying out discretization to Gaussian function, multiple discrete points are obtained；
According to multiple discrete points, corresponding Gaussian function numerical value is obtained；
Obtain the pixel number evidence of image to be reinforced；
By the pixel number of image to be reinforced according to matching with Gaussian function numerical value, each pixel number is obtained according to corresponding height
This functional value；
Each of image to be reinforced pixel is added using corresponding Gaussian function numerical value as weight according to matching result
Weight average processing.
4. a kind of image quality Enhancement Method according to claim 1, it is characterised in that: described pair filtering processing after to
Enhance the step for image carries out picture quality enhancement processing, comprising the following steps:
First gray value transformation is carried out to image to be reinforced using linear function；
According to the transformation of the first gray value as a result, carrying out the second gray value transformation to image to be reinforced using nonlinear function；
According to the transformation of the second gray value as a result, obtaining the histogram of image to be reinforced；
By integrating probability density function, probability density conversion is carried out to the histogram of image to be reinforced, after obtaining picture quality enhancement
Image.
5. a kind of image quality Enhancement Method according to claim 1, it is characterised in that: after the processing to picture quality enhancement
Image carry out region division, the step for obtaining multiple images region, specifically:
Using the image partition method based on geometrical model, to picture quality enhancement, treated that image carries out region division, obtains more
A image-region.
6. a kind of image quality Enhancement Method according to claim 1, it is characterised in that: it is described to multiple images region into
Row analysis, be obtained enhancing image-region and weak enhancing image-region the step for, comprising the following steps:
Judge whether the Y-PSNR of image-region is greater than first threshold, if so, the image-region was labeled as enhancing
Image-region；Conversely, then performing the next step rapid；
Judge whether the Y-PSNR of image-region is less than second threshold, if so, the image-region is labeled as weak enhancing
Image-region；Conversely, not dealing with then.
7. a kind of image quality Enhancement Method according to claim 1, it is characterised in that: described pair is crossed the image district enhanced
The step for image-region of domain and weak enhancing optimizes processing, comprising the following steps:
Using mean value method, processing is averaged to the grey scale pixel value for the image-region for crossing enhancing；
Using maximum value process, maximization processing is carried out to the grey scale pixel value of the image-region of weak enhancing.
8. a kind of image quality Enhancement Method according to claim 1, it is characterised in that: the figure to after optimization processing
As region is spliced, the step for complete image after generating picture quality enhancement, specifically:
Using the method based on aspect ratio pair, the image-region after optimization processing is spliced, it is complete after generating picture quality enhancement
Whole image.
9. a kind of image quality enhances system, it is characterised in that: include:
Filter module, for being filtered to image to be reinforced；
Picture quality enhancement module, for carrying out picture quality enhancement processing to the image to be reinforced after filtering processing；
Region division module obtains multiple images region for carrying out region division to picture quality enhancement treated image；
The image-region of enhancing and the image district of weak enhancing is obtained for analyzing multiple images region in analysis module
Domain；
Optimization processing module optimizes processing for the image-region to the image-region and weak enhancing of crossing enhancing；
Splicing module, for splicing to the image-region after optimization processing, the complete image after generating picture quality enhancement.
10. a kind of image quality enhancement device, it is characterised in that: include:
Memory, for storing program；
Processor is used for loading procedure, to execute a kind of such as the described in any item image quality Enhancement Methods of claim 1-8.
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| CN110351482A (en) * | 2019-06-25 | 2019-10-18 | 杭州汇萃智能科技有限公司 | Image preprocess apparatus, method and a kind of camera |
| CN111179183A (en) * | 2019-11-29 | 2020-05-19 | 北京时代民芯科技有限公司 | Image enhancement method under non-uniform illumination environment in nuclear-grade environment |
| CN112055159A (en) * | 2019-06-06 | 2020-12-08 | 海信视像科技股份有限公司 | Image quality processing device and display apparatus |
| CN112381736A (en) * | 2020-11-17 | 2021-02-19 | 深圳市歌华智能科技有限公司 | Image enhancement method based on scene block |
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| CN109993715A (en) * | 2019-04-11 | 2019-07-09 | 杨勇 | A kind of robot vision image preprocessing system and image processing method |
| CN112055159A (en) * | 2019-06-06 | 2020-12-08 | 海信视像科技股份有限公司 | Image quality processing device and display apparatus |
| CN110351482A (en) * | 2019-06-25 | 2019-10-18 | 杭州汇萃智能科技有限公司 | Image preprocess apparatus, method and a kind of camera |
| CN111179183A (en) * | 2019-11-29 | 2020-05-19 | 北京时代民芯科技有限公司 | Image enhancement method under non-uniform illumination environment in nuclear-grade environment |
| CN111179183B (en) * | 2019-11-29 | 2023-11-21 | 北京时代民芯科技有限公司 | Image enhancement method in non-uniform illumination environment in nuclear-grade environment |
| CN112381736A (en) * | 2020-11-17 | 2021-02-19 | 深圳市歌华智能科技有限公司 | Image enhancement method based on scene block |
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