CN105005973B - A kind of method and device of the quick denoising of image - Google Patents
A kind of method and device of the quick denoising of image Download PDFInfo
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- CN105005973B CN105005973B CN201510386239.1A CN201510386239A CN105005973B CN 105005973 B CN105005973 B CN 105005973B CN 201510386239 A CN201510386239 A CN 201510386239A CN 105005973 B CN105005973 B CN 105005973B
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Abstract
The embodiment of the invention discloses a kind of method and device of the quick denoising of image, wherein, the method for the quick denoising of described image includes：According to the brightness value of pixel in image, region division is carried out to described image；Regional is directed to respectively, and using removing-noise strength corresponding with current region, denoising is carried out to current region.The technical scheme provided using the embodiment of the present invention, less removing-noise strength is used for the higher region of brightness, ensure that the image detail in the higher region of brightness does not lose, larger removing-noise strength can be used to brightness lower region, noise can be effectively controlled, the integrality of brightness lower region raw information is kept, picture quality can be effectively improved, increase signal to noise ratio, preferably embody the information entrained by original image.
Description
Technical field
The present embodiments relate to image processing field, more particularly to a kind of method and device of the quick denoising of image.
Background technology
With the popularization of digital product, image and video turn into information carrier the most frequently used in mankind's activity, and they are wrapped
Contain the bulk information of object, turn into the main path that people obtain extraneous raw information.But acquisition in image, transmission and
Usually it can be made image deterioration by interference and the influence of various noises in storage process.In order to obtain quality digital image,
It is necessary to image carry out noise reduction process, with as far as possible keep raw information integrality (i.e. principal character) while,
And can enough removes information useless in signal.
Currently used Denoising Algorithm is all the environmental light brightness according to image, chooses different removing-noise strengths.Although
This algorithm for image-context brightness it is consistent when can obtain extraordinary denoising effect, still, have clear zone for itself
For the image of dark space, if denoising degree is big, it will result in highlight regions details and smeared；If denoising degree is small, will
Cause low bright area noise serious situation.
The content of the invention
In view of this, the embodiment of the present invention proposes a kind of method and device of the quick denoising of image, to solve due to image
Background light level it is inconsistent influence image denoising effect the problem of.
In a first aspect, the embodiments of the invention provide a kind of method of the quick denoising of image, methods described includes：
According to the brightness value of pixel in image, region division is carried out to described image；
Regional is directed to respectively, and using removing-noise strength corresponding with current region, denoising is carried out to current region.
Second aspect, the embodiments of the invention provide a kind of device of the quick denoising of image, described device includes：
Area division unit, for the brightness value according to pixel in image, region division is carried out to described image；
Denoising unit, for being directed to regional respectively, using removing-noise strength corresponding with current region, to current
Region carries out denoising.
The technical scheme provided using the embodiment of the present invention, by being chosen according to the brightness value of described image different zones
Different removing-noise strengths carries out denoising to image, and less removing-noise strength use for the higher region of brightness, guarantee brightness compared with
The image detail in high region does not lose, and can use larger removing-noise strength to brightness lower region, can effectively control and make an uproar
Point, brightness lower region raw information integrality is kept, picture quality can be effectively improved, increases signal to noise ratio, more preferable body
The now information entrained by original image.
Brief description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, of the invention is other
Feature, objects and advantages will become more apparent upon：
Fig. 1 is the flow chart of the method for the quick denoising of image that first embodiment of the invention provides；
Fig. 2 is the flow chart of the method for the quick denoising of image that second embodiment of the invention provides；
Fig. 3 is the flow chart of the method for the quick denoising of image that third embodiment of the invention provides；
Fig. 4 is the flow chart of the method for the quick denoising of image that fourth embodiment of the invention provides；
Fig. 5 is the structural representation of the device for the quick denoising of image that fifth embodiment of the invention provides.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is only used for explaining the present invention, rather than limitation of the invention.It also should be noted that for the ease of
Describe, part related to the present invention rather than full content are illustrate only in accompanying drawing.
Fig. 1 shows the first embodiment of the present invention.
Fig. 1 is a kind of schematic flow sheet of the method for the quick denoising of image that first embodiment of the invention provides, of the invention
The method of embodiment can be performed by the quick denoising device of image, and the device can be realized by way of software and/or hardware,
It is integrated in the intelligent terminal with camera function.
Referring to Fig. 1, the method for the quick denoising of described image, including：
Step S101, according to the brightness value of pixel in image, region division is carried out to described image.
Using camera arrangement, such as when digital camera, mobile phone or other intelligent terminal are shot, because object is to light
Line blocks, and subject can be caused to have clear zone and dark space in itself.Clear zone and dark space are due to the brightness difference of image
Larger and formed, the brightness of image refers to the intensity of image pixel, and black is most dark, and white is most bright, and general black is with 0
To represent, white is represented with 255.It can be obtained by the way that image is switched into HSL spaces by L * component value therein in image
The brightness value of pixel.In addition, during taking pictures, the Y-component value of the YUV image of transmission is exposed according to filming apparatus, also may be used
To get the brightness value of pixel in image, according to the brightness value of pixel in image, described image is divided into multiple areas
Domain.
Step S102, respectively for regional, using removing-noise strength corresponding with current region, current region is carried out
Denoising.
Camera arrangement is to convert optical signals into data signal.Due to electronic interferences can be produced in transfer process, make
Obtain captured image and noise occur.In order to obtain better image quality, it is necessary to carry out denoising to image.In image
Brightness upper zone noise is relatively low, and the noise of brightness lower region is higher, it is necessary to use different removing-noise strengths to different zones
Denoising is carried out to the region.The removing-noise strength refers to the removal coefficient to noise imaging data.According to step S101
The region divided, according to removing-noise strength corresponding to current region, denoising is carried out to image.By to the brightness in image
The region to differ greatly is removed using different removing-noise strengths to the noise in image, can remove the same of picture noise
When, ensure the fidelity of image, retain the image detail of noise smaller area.
The technical scheme that the present embodiment is provided, by choosing different go according to the brightness value of described image different zones
Intensity of making an uproar carries out denoising to image, and relatively low removing-noise strength is used for the higher region of brightness, ensures the higher region of brightness
Image detail do not lose；Higher removing-noise strength can be used to brightness lower region, can effectively control noise, Ke Yiyou
Effect ground improves picture quality, increases signal to noise ratio, preferably embodies the information entrained by original image.
On the basis of above-mentioned technical proposal, in the present embodiment, in step S101 " according to the brightness of pixel in image
Value, region division is carried out to described image " before, it can also increase following steps：Photographing instruction is received, opens camera, profit
IMAQ is carried out with the camera.
It is described to receive photographing instruction, can be that unlatching that camera arrangement is received performed by user is taken pictures the default of application
Corresponding operating, for example, camera arrangement receives pressing operation of the user to some physical button on camera arrangement, or receive
Corresponding click or slide of the user on smart mobile phone touch-screen.Camera arrangement is opened when receiving photographing instruction
Camera, and external image is acquired by described camera.
Fig. 2 shows the second embodiment of the present invention.
Fig. 2 is the flow chart of the method for the quick denoising of image that second embodiment of the invention provides.Described image is quick
The method of denoising is based on first embodiment of the invention, and further, the region that the division obtains is divided into：Highlight regions
With low bright area；And by the brightness value according to pixel in image, region division, specific optimization are carried out to described image
For：Described image is divided into multiple regions according to default rule, obtains the brightness value average value of pixel in the region；
By the brightness value average value of pixel in the region respectively compared with default first threshold and Second Threshold, according to than
The region division is highlight regions or low bright area by relatively result.
Referring to Fig. 2, the method for the quick denoising of described image includes：
Step S201, described image is divided into multiple regions according to default rule, obtains pixel in the region
Brightness value average value.
Described image is divided into multiple regions, the rule of division can be preset, such as preset each region
Size and orientation etc..In the present embodiment, described image is divided into 16 × 16 image-regions according to the size of image, and
The brightness value of all pixels point in the region after division is obtained, and pixel in the region is calculated according to the brightness value
Brightness value average value.
Step S202, by the brightness value average value of pixel in the region respectively with default first threshold and the second threshold
Value is compared, and by the region division is highlight regions or low bright area according to comparative result.
By the brightness value average value of pixel in the region acquired in step S201 and default first threshold and the second threshold
Value is compared, and described first threshold and Second Threshold are preset by system or user.The pixel in the region got
When the brightness value average value of point is more than first threshold, the region is divided into highlight regions.For example, by exposing YUV image,
The Y value average value of some region of pixel is got, is highlighted by the region division if Y value average value is more than 200
Region；It is low bright by the region division when brightness value average value of pixel is less than Second Threshold in the region got
Region.For example, by exposing YUV image, the Y value average value of some region of pixel is got, if Y value average value is less than
50, then it is low bright area by the region division.
As another optional embodiment of the present embodiment, other brightness value tags in the region can also be made
For comparison condition, judge whether the region is highlighted or low bright area.For example, pixel brightness value sum in region is made
For brightness value tag.By pixel brightness value sum in the region of acquisition respectively with default first brightness value and threshold value and
Second brightness value and threshold value are compared, and are highlight regions or low bright area by the region division.
Step S203, respectively for regional, using removing-noise strength corresponding with current region, current region is carried out
Denoising.
The present embodiment is by the way that by the brightness value according to pixel in image, region division, tool are carried out to described image
Body is optimized for：Described image is divided into multiple regions according to default rule, obtains the brightness value of pixel in the region
Average value, and by the brightness value average value of pixel in the region compared with default threshold value, it is true according to comparative result
The fixed region is highlighted or low bright area.Can accurately be divided according to the Luminance Distribution feature of described image highlight regions with
Low bright area, there is low operand, rapid reaction compared with other division methods, be easily achieved.
Fig. 3 shows the third embodiment of the present invention.
Fig. 3 is the flow chart of the method for the quick denoising of image that third embodiment of the invention provides.Described image is quick
The method of denoising is based on first embodiment of the invention, further, regional is directed to respectively by described, using with it is current
Removing-noise strength corresponding to region, denoising is carried out to current region and is specifically optimized for：Regional is directed to respectively, and identification is current
It is the target pixel points of noise in region；Remove in described image and obtain no noise image for the target pixel points of noise, and adopt
Noise reduction process is carried out to the no noise image with default noise reduction algorithm and obtains new images；By the imaging data of target pixel points
Anti- removing-noise strength coefficient corresponding with current region carries out product calculation, obtains anti-removing-noise strength corresponding to the target pixel points
Data；Increase anti-removing-noise strength data corresponding to the target pixel points in the new images.
Referring to Fig. 3, the method for the quick denoising of described image includes：
Step S301, according to the brightness value of pixel in image, region division is carried out to described image.
Step S302, respectively for regional, the interior target pixel points for noise of identification current region.
The noise in region that identification step S301 is divided respectively, described noise is by being produced by electronic interferences
It is raw, it is entirely different with the feature of the pixel of surrounding, visually seem to be dirty similar to image compared with other pixels
Effect.Using this characteristic, can identify in region be noise pixel, and using these pixels as object pixel
Point.
Step S303, remove in described image and obtain no noise image for the target pixel points of noise, and using default
Noise reduction algorithm carries out noise reduction process to the no noise image and obtains new images.
Target pixel points acquired in step S302 are deleted from described image, obtain no noise image so that described
The target pixel points for without noise image in original image being noise are empty (null).Will be without noise image according to default noise reduction
Algorithm carries out noise reduction, and described noise-reduction method can select noise reduction algorithm known to medium filtering, gaussian filtering or two value filterings etc.
To carrying out noise reduction without noise image.In the present embodiment, the noise reduction algorithm of wavelet transformation can be used to being dropped without noise image
Make an uproar.Wavelet transformation, which can be found, to be approached the optimal of original signal, to complete the differentiation of original signal and noise signal, to obtain original
The optimal recovery of signal.
Step S304, the imaging data of target pixel points anti-removing-noise strength coefficient corresponding with current region is subjected to product
Computing, obtain anti-removing-noise strength data corresponding to the target pixel points.
The imaging data of target pixel points is the data that this in image pixel is stored, for example, pixel in coloured image
Point each component values of RGB, or in image pixel gray value.Exemplary, the imaging data of target pixel points is selected
The brightness value of target pixel points is selected as, described anti-removing-noise strength coefficient is preset by system.Anti- removing-noise strength coefficient reflection
To the reserving degree of noise data in image, anti-removing-noise strength coefficient is bigger, noise imaging data is retained more, and denoising is strong
Degree is just smaller；Conversely, anti-removing-noise strength is smaller, fewer to the reservation of noise imaging data, removing-noise strength is bigger.In the present embodiment
In, anti-removing-noise strength coefficient, can be by empirically determined in the range of 0-1.For different regions, default anti-removing-noise strength system
Number also differs.For example, for highlight regions, because its noise is relatively low, for more image details can be retained, can use
Higher anti-removing-noise strength coefficient, for example, 0.8, more noise imaging data can be retained；Corresponding, for low clear zone
Domain, relatively low anti-removing-noise strength coefficient, such as 0.2 can be used, more noise imaging data can be removed, to reach more preferable
Denoising effect, enable the image after processing more smooth.The imaging data of target pixel points is corresponding with current region
Result after anti-removing-noise strength coefficient product calculation is as anti-removing-noise strength data corresponding to the target pixel points.
Step S305, increase anti-removing-noise strength data corresponding to the target pixel points on the new images.
It is general to express image using according to m × n picture element matrix.New images in step S303 are made an uproar due to eliminating
Point, therefore be the picture element matrix for including m × n that partial pixel imaging data is empty (null).Increase institute on the new images
Anti- removing-noise strength data corresponding to target pixel points are stated, are specially：Position by the anti-removing-noise strength data according to original noise
Put, it is empty pixel to replace pixel imaging data in new images picture element matrix, obtains new m × n picture element matrix.On
Effect caused by step is stated to be similar to anti-removing-noise strength data corresponding to the target pixel points according to target pixel points
Original position is added to by the new images without noise imaging data of noise reduction process, making the new images polishing all
Pixel number evidence, turn into the complete image by denoising.
The present embodiment by being directed to regional respectively by described, using removing-noise strength corresponding with current region, to working as
Forefoot area carries out denoising and is specifically optimized for：Regional is directed to respectively, is the object pixel of noise in identification current region
Point；Remove in described image and obtain no noise image for the target pixel points of noise, and using default noise reduction algorithm to described
Noise reduction process, which is carried out, without noise image obtains new images；By the anti-denoising corresponding with current region of the imaging data of target pixel points
Strength factor carries out product calculation, obtains anti-removing-noise strength data corresponding to the target pixel points；In new images increase
Anti- removing-noise strength data corresponding to the target pixel points.The image that fast and effectively can be caught to camera device is gone
Make an uproar processing, and suitable removing-noise strength is selected according to the brightness in described image region, make the image after denoising can either be in height
Luminance area keeps image detail；And can is enough to carry out effectively denoising in low brightness area to noise so that image appearance is more
Smoothly.
Fig. 4 shows the fourth embodiment of the present invention.
Fig. 4 is the flow chart of the method for the quick denoising of image that fourth embodiment of the invention provides.Described image is quick
The method of denoising is based on third embodiment of the invention, further, will identify in current region as the object pixel of noise
Point, is specifically optimized for：The minimum value of the difference of the brightness of the adjacent pixel of each pixel in current region is obtained, in institute
When stating the difference minimum value of brightness and being more than default minimum value threshold value, using the pixel as noise.
Referring to Fig. 4, the method for the quick denoising of described image includes：
Step S401, according to the brightness value of pixel in image, region division is carried out to described image.
Step S402, the minimum value of the difference of the brightness of the adjacent pixel of each pixel in current region is obtained,
When the difference minimum value of the brightness is more than default minimum value threshold value, using the pixel as noise.
For noise due to being as produced by electronic interferences, it is entirely different with the feature of the pixel of surrounding.The feature can
To be brightness value or color RGB component of pixel etc..In the present embodiment, it is used to be characterized as brightness value.Obtain successively
Take the brightness value of pixel adjacent thereto around each pixel in the current region, and calculate each pixel with
The difference of the brightness of its pixel closed on.By being compared to the difference of the brightness, the difference minimum value of the brightness is obtained.And
By the difference minimum value of the brightness compared with default minimum value threshold value, it is more than in the difference minimum value of the brightness default
During minimum value threshold value, using the pixel as noise.Exemplary, the adjacent pixel can be adjacent thereto 8
Individual pixel.Brightness value of the brightness value of 8 pixel adjacent with pixel successively with the pixel is subtracted each other, and by the difference
Value is compared, and determines the minimum value of 8 brightness value differences.The minimum value and minimum value threshold value set in advance are entered
Row compares, and described minimum value threshold value can be set by empirical value.When the minimum value of the brightness value difference is more than set in advance
During minimum value threshold value, illustrate that the pixel and the difference of surrounding pixel point exceed normal range (NR), it is noise to determine the pixel.
Step S403, remove in described image and obtain no noise image for the target pixel points of noise, and using default
Noise reduction algorithm carries out noise reduction process to the no noise image and obtains new images.
Step S404, the imaging data of target pixel points anti-removing-noise strength coefficient corresponding with current region is subjected to product
Computing, obtain anti-removing-noise strength data corresponding to the target pixel points.
Step S405, increase anti-removing-noise strength data corresponding to the target pixel points on the new images.
The present embodiment is specifically optimized for by will identify in current region as the target pixel points of noise：Proparea is worked as in acquisition
The minimum value of the difference of the brightness of the adjacent pixel of each pixel in domain, it is more than in the difference minimum value of the brightness default
Minimum value threshold value when, using the pixel as noise.Noise can quickly and accurately be identified so that subsequently noise is carried out
Denoising is more efficient.
Fig. 5 shows the fifth embodiment of the present invention.
Fig. 5 is the structure chart of the device for the quick denoising of image that fourth embodiment of the invention provides.Referring to Fig. 5, the figure
As the device of quick denoising includes：Area division unit 510 and denoising unit 520.
Wherein, the area division unit 510, for the brightness value according to pixel in image, described image is carried out
Region division；
The denoising unit 520 is strong using denoising corresponding with current region for being directed to regional respectively
Degree, denoising is carried out to current region.
The technical scheme that the present embodiment is provided, by choosing different go according to the brightness value of described image different zones
Intensity of making an uproar carries out denoising to image, and less removing-noise strength is used for the higher region of brightness, ensures the higher region of brightness
Image detail do not lose, to brightness lower region can use larger removing-noise strength can effectively control noise, Neng Gouyou
Effect keeps brightness lower region raw information integrality, can effectively improve picture quality, increases signal to noise ratio, preferably embodies
The originally information entrained by image.
Further, the area division unit 510, including：Brightness value average value obtains subelement 511, highlight regions
Divide subelement 512 and low bright area division subelement 513.
Wherein, the brightness value average value obtains subelement 511, for described image to be divided into according to default rule
Multiple regions, obtain the brightness value average value of pixel in the region；
The highlight regions divide subelement 512, and the brightness value average value for the pixel in the region is higher than pre-
If first threshold when, be highlight regions by the region division；
The low bright area division subelement 513, the brightness value average value for the pixel in the region is less than pre-
If Second Threshold when, the pixel is divided into low bright area.
Further, the denoising unit 520, including：Target pixel points identification subelement 521, new images obtain
Subelement 522, anti-removing-noise strength data acquisition subelement 523 and anti-removing-noise strength data increase subelement 524.
Wherein, the target pixel points identification subelement 521, for being directed to regional respectively, is identified in current region
For the target pixel points of noise；
The new images obtain subelement 522, are obtained for removing in described image for the target pixel points of noise without making an uproar
Dot image, and noise reduction process is carried out to the no noise image using default noise reduction algorithm and obtains new images；
The anti-removing-noise strength data acquisition subelement 523, for by the imaging data and current region of target pixel points
Corresponding anti-removing-noise strength coefficient carries out product calculation, obtains anti-removing-noise strength data corresponding to the target pixel points；
The anti-removing-noise strength data increase subelement 524, for increasing the target pixel points on the new images
Corresponding anti-removing-noise strength data.
Further, the target pixel points identification subelement 521, is used for：
The minimum value of the difference of the brightness of the adjacent pixel of each pixel in current region is obtained, in the brightness
Difference minimum value when being more than default minimum value threshold value, using the pixel as noise.
Further, the device of the quick denoising of described image also includes：Image acquisition units 530,
Wherein, described image collecting unit 530 is used to receive photographing instruction, opens camera, utilizes the camera
Carry out IMAQ.
The method that the device of the above-mentioned quick denoising of image can perform the quick denoising of image that the embodiment of the present invention is provided, tool
For the corresponding functional module of execution method and beneficial effect.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Will be appreciated by those skilled in the art that above-mentioned each module of the invention or each step can use general meter
Device is calculated to realize, they can be concentrated on single computing device, or are distributed in the network that multiple computing devices are formed
On, alternatively, they can be realized with the program code that computer installation can perform, so as to be stored in storage
Performed in device by computing device, they are either fabricated to each integrated circuit modules respectively or will be more in them
Individual module or step are fabricated to single integrated circuit module to realize.So, the present invention be not restricted to any specific hardware and
The combination of software.
Each embodiment in this specification is described by the way of progressive, what each embodiment stressed be with
The difference of other embodiment, same or analogous part between each embodiment mutually referring to.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for those skilled in the art
For, the present invention can have various changes and change.All any modifications made within spirit and principles of the present invention, it is equal
Replace, improve etc., it should be included in the scope of the protection.
Claims (8)
- A kind of 1. method of the quick denoising of image, it is characterised in that including：According to the brightness value of pixel in image, region division is carried out to described image；Regional is directed to respectively, and using removing-noise strength corresponding with current region, denoising is carried out to current region；Wherein, it is described to be directed to regional respectively, using removing-noise strength corresponding with current region, denoising is carried out to current region Processing, including：Regional is directed to respectively, is the target pixel points of noise in identification current region；Remove in described image and obtain no noise image for the target pixel points of noise, and using default noise reduction algorithm to described Noise reduction process, which is carried out, without noise image obtains new images；The imaging data of target pixel points anti-removing-noise strength coefficient corresponding with current region is subjected to product calculation, obtained described Anti- removing-noise strength data corresponding to target pixel points；Increase anti-removing-noise strength data corresponding to the target pixel points on the new images.
- 2. according to the method for claim 1, it is characterised in that the region for dividing to obtain includes：Highlight regions and low clear zone Domain；The brightness value according to pixel in image, region division is carried out to described image, including：Described image is divided into multiple regions according to default rule, the brightness value for obtaining pixel in the region is averaged Value；It is height by the region division if the brightness value average value of pixel is higher than default first threshold in the region Bright area；It is low by the region division if the brightness value average value of pixel is less than default Second Threshold in the region Bright area.
- 3. according to the method for claim 1, it is characterised in that be the target pixel points of noise in identification current region, wrap Include：The minimum value of the difference of the brightness of the adjacent pixel of each pixel in current region is obtained, in the difference of the brightness When minimum value is more than default minimum value threshold value, using the pixel as noise.
- 4. according to the method any one of claim 1-3, it is characterised in that in the brightness according to pixel in image Value, before carrying out region division to described image, in addition to：Photographing instruction is received, opens camera, IMAQ is carried out using the camera.
- A kind of 5. device of the quick denoising of image, it is characterised in that including：Area division unit, for the brightness value according to pixel in image, region division is carried out to described image；Denoising unit, for being directed to regional respectively, using removing-noise strength corresponding with current region, to current region Carry out denoising；Wherein, the denoising unit, including：Target pixel points identify subelement, are the object pixel of noise for being directed to regional respectively, in identification current region Point；New images obtain subelement, obtain no noise image for removing in described image for the target pixel points of noise, and adopt Noise reduction process is carried out to the no noise image with default noise reduction algorithm and obtains new images；Anti- removing-noise strength data acquisition subelement, for by the anti-denoising corresponding with current region of the imaging data of target pixel points Strength factor carries out product calculation, obtains anti-removing-noise strength data corresponding to the target pixel points；Anti- removing-noise strength data increase subelement, for increasing anti-denoising corresponding to the target pixel points on the new images Intensity data.
- 6. device according to claim 5, it is characterised in that the area division unit, including：Brightness value average value obtains subelement, for described image to be divided into multiple regions according to default rule, obtains institute State the brightness value average value of pixel in region；Highlight regions divide subelement, and the brightness value average value for the pixel in the region is higher than default first threshold When, it is highlight regions by the region division；Low bright area divides subelement, and the brightness value average value for the pixel in the region is less than default Second Threshold When, it is low bright area by the region division.
- 7. device according to claim 5, it is characterised in that the target pixel points identify subelement, are used for：The minimum value of the difference of the brightness of the adjacent pixel of each pixel in current region is obtained, in the difference of the brightness When minimum value is more than default minimum value threshold value, using the pixel as noise.
- 8. according to the device any one of claim 5-7, it is characterised in that described device also includes：Image acquisition units, for receiving photographing instruction, open camera, and IMAQ is carried out using the camera.
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| CN105898151A (en) * | 2015-11-15 | 2016-08-24 | 乐视移动智能信息技术（北京）有限公司 | Image processing method and device |
| CN105744173B (en) * | 2016-02-15 | 2019-04-16 | Oppo广东移动通信有限公司 | Method and device for distinguishing foreground and background areas of image and mobile terminal |
| TW201742001A (en) * | 2016-05-30 | 2017-12-01 | 聯詠科技股份有限公司 | Method and device for image noise estimation and image capture apparatus |
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| WO2022016326A1 (en) * | 2020-07-20 | 2022-01-27 | 深圳市大疆创新科技有限公司 | Image processing method, electronic device, and computer-readable medium |
| CN112950489B (en) * | 2021-01-12 | 2023-11-03 | 辽宁省视讯技术研究有限公司 | Three-dimensional field noise reduction method based on multiple exposure |
| CN112995655A (en) * | 2021-03-04 | 2021-06-18 | 上海创功通讯技术有限公司 | Stray light inspection method and equipment |
| CN113610720B (en) * | 2021-07-23 | 2025-02-11 | Oppo广东移动通信有限公司 | Video denoising method and device, computer readable medium and electronic device |
| CN114781464A (en) * | 2022-06-20 | 2022-07-22 | 北京闪马智建科技有限公司 | Data denoising method and device, storage medium and electronic device |
| CN118921560B (en) * | 2024-10-10 | 2025-01-10 | 浙江大华技术股份有限公司 | Method for adjusting image noise, storage medium and electronic device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1591531A (en) * | 2003-08-27 | 2005-03-09 | 株式会社日立制作所 | Image display apparatus, display unit driver and image display method for the same |
| CN101414437B (en) * | 2007-10-19 | 2012-07-25 | 青岛海信电器股份有限公司 | Liquid crystal display method and liquid crystal display device |
| CN102722871A (en) * | 2012-05-24 | 2012-10-10 | 中山大学 | Quick and effective image enhancing method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2457196A4 (en) * | 2009-07-21 | 2013-02-06 | Qualcomm Inc | A method and system for detection and enhancement of video images |
-
2015
- 2015-06-30 CN CN201510386239.1A patent/CN105005973B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1591531A (en) * | 2003-08-27 | 2005-03-09 | 株式会社日立制作所 | Image display apparatus, display unit driver and image display method for the same |
| CN101414437B (en) * | 2007-10-19 | 2012-07-25 | 青岛海信电器股份有限公司 | Liquid crystal display method and liquid crystal display device |
| CN102722871A (en) * | 2012-05-24 | 2012-10-10 | 中山大学 | Quick and effective image enhancing method |
Non-Patent Citations (3)
| Title |
|---|
| Chroma Noise Reduction in DCT Domain Using Soft-Thresholding;Antonio Buemi等;《EURASIP Journal on Image and Video Processing》;20110109;第2010卷;第1-13页 * |
| Enhanced HDR Image Rendering Method using Visual Acuity Based Edge Separation;Geun-Toung Lee等;《https://www.semanticscholar.org/paper/Enhanced-HDR-Image-Rendering-Method-using-Visual-Lee-Lee/50cf43784441541f5de1a79fa28ecce77f478e16》;20121231;第1-5页 * |
| 图像和视频亮度的自动调整;王想等;《电子学报》;20090430;第37卷(第4A期);第79-86页 * |
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