CN106846262A - Remove the method and system of mosquito noise - Google Patents
Remove the method and system of mosquito noise Download PDFInfo
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- CN106846262A CN106846262A CN201611203018.7A CN201611203018A CN106846262A CN 106846262 A CN106846262 A CN 106846262A CN 201611203018 A CN201611203018 A CN 201611203018A CN 106846262 A CN106846262 A CN 106846262A
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- 241000255925 Diptera Species 0.000 title claims abstract description 168
- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000001914 filtration Methods 0.000 claims abstract description 40
- 230000008569 process Effects 0.000 claims abstract description 9
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract description 7
- 238000010586 diagram Methods 0.000 description 8
- 230000004069 differentiation Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
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- 239000011159 matrix material Substances 0.000 description 2
- 230000002146 bilateral effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
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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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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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
- G06T2207/20172—Image enhancement details
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
Abstract
The present invention relates to a kind of method and system for removing mosquito noise, the denoising method of the removal mosquito noise includes：When it is determined that pending area block be edge block when, determine neighborhood block of the pending area block on an azimuth direction whether continued presence mosquito noise block and flat block；When it is determined that there is mosquito noise block and flat block, determine that the pending area block is located at mosquito noise area；The edge block probability of the pending area block and its mosquito noise block probability of adjacent area block and flat block probability are obtained respectively, choose minimum value therein as mosquito noise filtering weighting；The pending area block for being pointed to mosquito noise area using the mosquito noise filtering weighting does mosquito noise filtering process.In the present invention, solution is realized while texture area is protected to greatest extent, how to simplify detection mosquito noise, and the effectively mosquito noise between removal background and object.
Description
Technical field
The present invention relates to technical field of video image processing, mosquito noise technology is more particularly to removed, specifically refer to one kind
Remove the method and system of mosquito noise.
Background technology
Video reference damages system item group and mosquito noise is defined as " along with the distortion at moving object edge, performance
It is have one layer of material as flyer or fuzzy bubble (just as mosquito is around head part and shoulder around object surrounding
Fly) ".When reconstruction image is simultaneously because when abandoning some data using anti-cosine transform, just occur mosquito noise.
Mosquito noise tends to occur at the transitional region of edge block and flat block, with reference to this characteristic, mosquito formula can be made an uproar
Sound is detected.The method of existing detection mosquito noise mainly includes：The method in spatial domain, the method for frequency domain, and spatial domain with
The method that frequency domain is combined.
In the method that spatial domain and frequency domain are combined, one way in which is using (the sum of of SAD in region unit
Absolute difference, the sum of poor absolute value) method obtain spatial feature, frequency domain method uses dct transform method
Obtain frequency domain character.Two kinds of methods all with reference to surrounding M*N region unit information, determine whether current region block is that mosquito formula is made an uproar
Sound block.In Space domain, can be good at detecting edge, but differentiation texture area and mosquito noise area are largely depended on
In the size of selection region block, if reducing the size of region unit, final low pass filter is had influence on, cause residual can
The noise seen；Frequency domain method detection edge therein is more coarse, and compared to spatial domain method, frequency domain can be very good differentiation mosquito formula and make an uproar
Sound and texture area.
So if the fuzzy of weak texture area can be caused only with the method for spatial domain, and only with the method for frequency domain,
Causing the mosquito noise of adjacent edges because part edge can't detect cannot remove.
With in the method that frequency domain is combined, another way is to find edge block using DCT methods, recycles variance in spatial domain
Edge block is divided into three classes by method, for each case, 3D bilateral filtering is carried out quantization constraint factor is combined.The party
Method needs 100 candidate quantisation forms, and complexity is high, occupies substantial amounts of hardware resource.
The content of the invention
In order to solve above mentioned problem of the prior art, it has been and has solved while texture area is protected to greatest extent,
How to simplify detection mosquito noise, and the effectively mosquito noise between removal background and object, gone the invention provides one kind
Except the method for mosquito noise, including：
When it is determined that pending area block is edge block, neighbour of the pending area block on an azimuth direction is determined
Domain block whether continued presence mosquito noise block and flat block；
When it is determined that there is mosquito noise block and flat block, determine that the pending area block is located at mosquito noise area；
Obtain respectively the edge block probability of the pending area block and its mosquito noise block probability of adjacent area block and
Flat block probability, chooses minimum value therein as mosquito noise filtering weighting；
The pending area block for being pointed to mosquito noise area using the mosquito noise filtering weighting does mosquito noise
Filtering process.
Preferably, determine that pending area block, for edge block, is specifically included：
All pixels point is the probability of marginal point in being calculated the pending area block；
The average for determining the probability that all pixels point is marginal point is the edge block probability of the pending area block；
When the edge block probability of the pending area block is more than predetermined threshold value, determine that the pending area is edge
Block.
Preferably, the neighborhood block for determining the pending area block on an azimuth direction whether continued presence mosquito
Formula noise block and flat block, specifically include：
With the pending area block as starting point, its two adjacent successively neighborhood block is chosen on each azimuth direction, and
Calculate close to first neighborhood block be the mosquito noise block probability of mosquito noise block, and secondary second adjacent neighborhood block is flat
Smooth piece of flat block probability；
Whether first neighborhood block is mosquito noise block according to the mosquito noise block determine the probability；
Whether second neighborhood block is flat block according to the flat block determine the probability.
Preferably, the pending area block that mosquito noise area is pointed to using the mosquito noise filtering weighting
Mosquito noise filtering process is done, is specifically included：
Any pixel is chosen in the pending area block, the predetermined number during the pixel is expert at is chosen
Predetermined number neighbor pixel in neighbor pixel and column, pixel value and mosquito formula according to each pixel are made an uproar
Sound filtering weighting is calculated mosquito noise filter result.
Preferably, the pixel value and mosquito noise filtering weighting according to each pixel is calculated mosquito formula and makes an uproar
Sound filter result, by equation below：
Yout=(1-PSigma)×Ycur+PSigma×Yfilt
Wherein, YoutIt is the brightness value of selected pixel output in the pending area block, PSigmaFor mosquito formula is made an uproar
Sound filtering weighting, YcurIt is the pixel value of selected pixel input in the pending area block, YfiltIt is to be treated described
The sigma filter results of selected pixel in processing region block.
Preferably, the YfiltIt is calculated especially by equation below：
Wherein, WijIt is the picture of the pixel value pixel adjacent thereto of selected pixel in the pending area block
The weight of the absolute value of element value, diff is the pixel value picture adjacent thereto of selected pixel in the pending area block
The absolute value of the pixel value of vegetarian refreshments, YijIt is the pixel of the neighbor pixel of selected pixel in the pending area block
Value, I is the span that selected pixel in the pending area block is expert at, and J is in the pending area
The span of pixel column selected in block.
Present invention also offers a kind of system for removing mosquito noise, including：
First processing units, for when it is determined that pending area block is edge block, determining that the pending area block exists
Neighborhood block on one azimuth direction whether continued presence mosquito noise block and flat block；
Second processing unit, for when it is determined that there is mosquito noise block and flat block, determining the pending area block
Positioned at mosquito noise area；
Unit is chosen, for obtaining the edge block probability of the pending area block and its mosquito of adjacent area block respectively
Formula noise block probability and flat block probability, choose minimum value therein as mosquito noise filtering weighting；
3rd processing unit, for being pointed to the described pending of mosquito noise area using the mosquito noise filtering weighting
Region unit does mosquito noise filtering process.
Preferably,
The first processing units, are marginal point specifically for being calculated all pixels point in the pending area block
Probability；The average for determining the probability that all pixels point is marginal point is the edge block probability of the pending area block；Work as institute
When the edge block probability for stating pending area block is more than predetermined threshold value, determine that the pending area is edge block.
Preferably,
The first processing units, also particularly useful for the pending area block as starting point, select on each azimuth direction
Take its two adjacent successively neighborhood block, and calculate close to first neighborhood block for the mosquito noise block of mosquito noise block is general
Rate, and secondary second adjacent neighborhood block is the flat block probability of flat block；According to the mosquito noise block determine the probability
Whether first neighborhood block is mosquito noise block；Whether second neighborhood block is flat according to the flat block determine the probability
Block.
Preferably,
3rd processing unit, specifically for choosing any pixel in the pending area block, chooses described
Pixel be expert in predetermined number neighbor pixel and column in predetermined number neighbor pixel, according to each
The pixel value and mosquito noise filtering weighting of individual pixel are calculated mosquito noise filter result.
Compared with prior art, the present invention at least has advantages below：
By design of the invention, realize while texture area is protected to greatest extent, simplify detection mosquito formula and make an uproar
Sound, and effectively removes the mosquito noise between background and object.
Brief description of the drawings
Fig. 1 is the position view that mosquito noise region is in flat site and texture region；
Fig. 2 is the schematic flow sheet of the method for removal mosquito noise provided by the present invention；
Fig. 3 is the block diagram that mosquito noise method is removed based on frequency domain and spatial domain provided by the present invention；
Fig. 4 is the horizontal coefficients of Sobel wherein provided by the present invention and the schematic diagram of vertical coefficient；
Fig. 5 is marginal probability calculated curve schematic diagram provided by the present invention；
Fig. 6 is the schematic diagram of the azimuth direction of the contiguous range and required calculating of current region block provided by the present invention；
Fig. 7 is the parameter schematic diagram of 2D-DCT coefficient matrixes provided by the present invention；
Fig. 8 is the probability calculation curve synoptic diagram that pending area block provided by the present invention is located at mosquito noise area；
Fig. 9 is the probability calculation curve synoptic diagram that pending area block provided by the present invention is located at flat region；
Figure 10 is diff-Weight calculated curve schematic diagrames in Sigma filtering provided by the present invention.
Specific embodiment
The preferred embodiment of the present invention described with reference to the accompanying drawings.It will be apparent to a skilled person that this
A little implementation methods are used only for explaining know-why of the invention, it is not intended that limit the scope of the invention.
Because the limitation of the network bandwidth to picture signal, it is necessary to encode, so as to introduce mosquito noise, cause image
The decline of signal image quality.Mosquito noise tends to occur at the flat site or low frequency range beside object edges areas (texture region)
Domain, as shown in Figure 1.
As shown in Fig. 2 being the method for removal mosquito noise provided by the present invention, specifically include：
Step 201, when it is determined that pending area block is edge block, determines the pending area block an orientation side
Upward neighborhood block whether continued presence mosquito noise block and flat block.
In this step, determine that pending area block, for edge block, is specifically included：
All pixels point is the probability of marginal point in being calculated the pending area block；Determine that all pixels point is side
The average of the probability of edge point is the edge block probability of the pending area block；When the edge block probability of the pending area block
During more than predetermined threshold value, determine that the pending area is edge block.
The neighborhood block for determining the pending area block on an azimuth direction whether continued presence mosquito noise
Block and flat block, specifically include：
With the pending area block as starting point, its two adjacent successively neighborhood block is chosen on each azimuth direction, and
Calculate close to first neighborhood block be the mosquito noise block probability of mosquito noise block, and secondary second adjacent neighborhood block is flat
Smooth piece of flat block probability；
Whether first neighborhood block is mosquito noise block according to the mosquito noise block determine the probability；
Whether second neighborhood block is flat block according to the flat block determine the probability.
The step can also use framework as shown in Figure 3, in the framework,
Wherein, spatial domain edge detection unit
Edge block probability, the wherein horizontal coefficients of Sobel and vertical coefficient such as Fig. 4 institutes are asked using Sobel sobel algorithms
Show.
The absolute value summation that Sobel is filtered the result of latter two azimuth direction obtains edge amplitude gradAmp, then passes through
Curve shown in Fig. 5 obtains the probability P that the pixel is marginal pointpixel_edge。
Calculate in the region unit of 4*4 sizes, take all pixels point P in region unitpixel_edgeBe worth to edge block
Probability Pblock_edge；If Pblock_edgeMore than threshold value set in advance, then current region block is edge block, it is necessary to detect around it
The information of neighborhood block, the distribution of neighborhood block is as shown in fig. 6, wherein numbering 13 represents current edge block.
Frequency domain character detection unit
By the method for 2D-DCT, the frequency domain characteristic of the neighborhood block in addition to current region block is obtained.Formula is as follows：
Y=AXAT
DCT matrix As coefficient such as Fig. 7, X are the matrix of the 4*4 of current block.Y is taken again except other number sums U in the upper right cornern, make
It is the frequency domain characteristic of the region unit.
Neighborhood information combines judging unit
Detect on each azimuth direction, if continued presence texture block, mosquito noise block and flat block；Use edge block probability
To represent texture block probability.Each azimuth direction as illustrated by arrows 5, totally 8 directions (eight azimuth directions include,
Due east azimuth direction, due south azimuth direction, due west azimuth direction, due north azimuth direction, southeast azimuth direction, southwestern orientation side
To, northwest position direction and northeast azimuth direction), it is noted that azimuth direction here is the signified direction of arrow, such as 13->7->1
And 13->19->25 is two different azimuth directions.
Curve calculates the probability that pending area block is located at mosquito noise area according to Fig. 8；Abscissa is pending district
The DCT frequency domain characteristics U of domain blockn, ordinate PmosFor pending area block is the probability of mosquito noise block.m_flat、m_mos1、
M_mos2, m_tex belong to threshold value constant.The curve according to Fig. 9 calculates the pending piece of probability for being located at flat block.Abscissa
It is the DCT frequency domain characteristics U of pending area blockn, ordinate PflatFor pending area block is the probability of flat block.f_flat、f_
Mos belongs to threshold value constant.
Step 202, when it is determined that there is mosquito noise block and flat block, determines that the pending area block is made an uproar positioned at mosquito formula
Sound area.
Step 203, obtains the edge block probability of the pending area block and its mosquito noise of adjacent area block respectively
Block probability and flat block probability, choose minimum value therein as mosquito noise filtering weighting.
The continuous edge block probability of a certain azimuth direction, mosquito noise block probability, flat block probability are taken into minimum value, is obtained
To final probable value PSigma, as mosquito noise filtering weighting.
PSigma=min (Pflat, Pmos, Pblock_edge)
In such as Fig. 5,13->7->P on 1 directionSigmaEqual to the edge block probability of region unit 13, the mosquito formula of region unit 7 is made an uproar
Sound block probability, and the flat block probability of region unit 1 minimum value；And 13->19->P on 25 directionsSigmaEqual to region unit 13
Edge block probability, the mosquito noise block probability of region unit 19, and the flat block probability of region unit 25 minimum value.
Step 204, the pending area block for being pointed to mosquito noise area using the mosquito noise filtering weighting does
Mosquito noise filtering process.
In the step, mosquito noise filter unit
Mosquito noise filtering is carried out to each pixel in pending area block.
Filtering method is filtered using sigma, specially according to the M around each pixel in region unit × N number of pixel,
Such as 3 × 3, it is weighted averagely, the result of sigma filtering is Yfilt.Calculating process is as follows：
Wherein, WijIt is the picture of the pixel value pixel adjacent thereto of selected pixel in the pending area block
The weight of the absolute value of element value, is calculated by curve shown in Figure 10；Diff is selected in the pending area block
Pixel pixel value pixel adjacent thereto pixel value absolute value (diff=abs (Yij-Ycur)), YijIt is described
The pixel value of the neighbor pixel of selected pixel in pending area block, I is selected in the pending area block
The span that the pixel for taking is expert at, J is the value of selected pixel column in the pending area block
Scope.
The brightness value of current pixel point final output is：
Yout=(1-PSigma)×Ycur+PSigma×Yfilt
Wherein, YoutIt is the brightness value of selected pixel output in the pending area block, YcurIt is described
The pixel value of pixel input selected in pending area block, YfiltIt is selected picture in the pending area block
The sigma filter results of vegetarian refreshments.
The pending area block for being pointed to mosquito noise area using the mosquito noise filtering weighting does mosquito formula
Noise filtering treatment, specifically includes：
Any pixel is chosen in the pending area block, the predetermined number during the pixel is expert at is chosen
Predetermined number neighbor pixel in neighbor pixel and column, pixel value and mosquito formula according to each pixel are made an uproar
Sound filtering weighting is calculated mosquito noise filter result.
Above-mentioned technical proposal can be seen that the invention has the advantages that：
The present invention can more accurately find marginal point, it is to avoid the missing inspection to some edges by spatial domain gradient method；Root
According to the method for frequency domain DCT, texture and mosquito noise can be more accurately distinguished between, it is to avoid due to by skin texture detection for mosquito noise
Cause the flase drop of texture area, or mosquito noise area is detected as texture area and the missing inspection of mosquito noise is caused；Believed according to neighborhood
Breath determination methods, mosquito noise is looked on the region that mosquito noise is likely to occur, and makes the testing result of mosquito noise more accurate
Really.
Based on the technical scheme identical design provided with the invention described above, present invention also offers one kind removal mosquito formula
The system of noise, including：
First processing units, for when it is determined that pending area block is edge block, determining that the pending area block exists
Neighborhood block on one azimuth direction whether continued presence mosquito noise block and flat block；Described wait to locate specifically for being calculated
All pixels point is the probability of marginal point in reason region unit；Determine that the average of the probability that all pixels point is marginal point is treated for described
The edge block probability of processing region block；When the edge block probability of the pending area block is more than predetermined threshold value, it is determined that described
Pending area is edge block；Also particularly useful for the pending area block as starting point, chosen on each azimuth direction its according to
Secondary two adjacent neighborhood blocks, and calculate close to first neighborhood block for mosquito noise block mosquito noise block probability, and
Secondary second adjacent neighborhood block is the flat block probability of flat block；First neighbour according to the mosquito noise block determine the probability
Whether domain block is mosquito noise block；Whether second neighborhood block is flat block according to the flat block determine the probability.
Second processing unit, for when it is determined that there is mosquito noise block and flat block, determining the pending area block
Positioned at mosquito noise area；
Unit is chosen, for obtaining the edge block probability of the pending area block and its mosquito of adjacent area block respectively
Formula noise block probability and flat block probability, choose minimum value therein as mosquito noise filtering weighting；
3rd processing unit, for being pointed to the described pending of mosquito noise area using the mosquito noise filtering weighting
Region unit does mosquito noise filtering process；Specifically for choosing any pixel in the pending area block, choose described
Pixel be expert in predetermined number neighbor pixel and column in predetermined number neighbor pixel, according to each
The pixel value and mosquito noise filtering weighting of individual pixel are calculated mosquito noise filter result.
Those skilled in the art should be able to recognize that, the mould of each example described with reference to the embodiments described herein
Block and method and step, can be realized, with electronic hardware, computer software or the combination of the two in order to clearly demonstrate electricity
The interchangeability of sub- hardware and software, generally describes the composition and step of each example according to function in the above description
Suddenly.These functions are performed with electronic hardware or software mode actually, depending on the application-specific of technical scheme with design about
Beam condition.Those skilled in the art can realize described function to each specific application using distinct methods, but
It is this realization it is not considered that beyond the scope of this invention.
So far, combined preferred embodiment shown in the drawings describes technical scheme, but, this area
Technical staff is it is easily understood that protection scope of the present invention is expressly not limited to these specific embodiments.Without departing from this
On the premise of the principle of invention, those skilled in the art can make equivalent change or replacement to correlation technique feature, these
Technical scheme after changing or replacing it is fallen within protection scope of the present invention.
Claims (10)
1. it is a kind of remove mosquito noise method, it is characterised in that including：
When it is determined that pending area block is edge block, neighborhood block of the pending area block on an azimuth direction is determined
Whether continued presence mosquito noise block and flat block；
When it is determined that there is mosquito noise block and flat block, determine that the pending area block is located at mosquito noise area；
The edge block probability of the pending area block and its mosquito noise block probability of adjacent area block and flat are obtained respectively
Block probability, chooses minimum value therein as mosquito noise filtering weighting；
The pending area block for being pointed to mosquito noise area using the mosquito noise filtering weighting does mosquito noise filtering
Treatment.
2. it is according to claim 1 removal mosquito noise method, it is characterised in that determine pending area block be edge
Block, specifically includes：
All pixels point is the probability of marginal point in being calculated the pending area block；
The average for determining the probability that all pixels point is marginal point is the edge block probability of the pending area block；
When the edge block probability of the pending area block is more than predetermined threshold value, determine that the pending area is edge block.
3. it is according to claim 1 removal mosquito noise method, it is characterised in that the determination pending area
Neighborhood block of the block on an azimuth direction whether continued presence mosquito noise block and flat block, specifically include：
With the pending area block as starting point, its two adjacent successively neighborhood block is chosen on each azimuth direction, and calculate
Close to first neighborhood block be the mosquito noise block probability of mosquito noise block, and secondary second adjacent neighborhood block is flat block
Flat block probability；
Whether first neighborhood block is mosquito noise block according to the mosquito noise block determine the probability；
Whether second neighborhood block is flat block according to the flat block determine the probability.
4. it is according to claim 1 removal mosquito noise method, it is characterised in that it is described using the mosquito noise filter
The pending area block that ripple weight is pointed to mosquito noise area does mosquito noise filtering process, specifically includes：
Any pixel is chosen in the pending area block, the predetermined number chosen during the pixel is expert at is adjacent
Predetermined number neighbor pixel in pixel and column, pixel value and the mosquito noise filter according to each pixel
Ripple weight calculation obtains mosquito noise filter result.
5. the method for removal mosquito noise according to claim 4, it is characterised in that described according to each pixel
Pixel value and mosquito noise filtering weighting are calculated mosquito noise filter result, by equation below：
Yout=(1-PSigma)×Ycur+PSigma×Yfilt
Wherein, YoutIt is the brightness value of selected pixel output in the pending area block, PSigmaFor mosquito noise is filtered
Ripple weight, YcurIt is the pixel value of selected pixel input in the pending area block, YfiltIt is described pending
The sigma filter results of selected pixel in region unit.
6. it is according to claim 5 removal mosquito noise method, it is characterised in that the YfiltEspecially by following public affairs
Formula is calculated：
Wherein, WijIt is the pixel value of the pixel value pixel adjacent thereto of selected pixel in the pending area block
Absolute value weight, diff is the pixel value pixel adjacent thereto of selected pixel in the pending area block
Pixel value absolute value, YijIt is the pixel value of the neighbor pixel of selected pixel in the pending area block, I
It is span that selected pixel in the pending area block is expert at, J is in the pending area block
The span of selected pixel column.
7. it is a kind of remove mosquito noise system, it is characterised in that including：
First processing units, for when it is determined that pending area block is edge block, determining the pending area block at one
Neighborhood block on azimuth direction whether continued presence mosquito noise block and flat block；
Second processing unit, for when it is determined that there is mosquito noise block and flat block, determining that the pending area block is located at
Mosquito noise area；
Unit is chosen, the mosquito formula of edge block probability and its adjacent area block for obtaining the pending area block respectively is made an uproar
Sound block probability and flat block probability, choose minimum value therein as mosquito noise filtering weighting；
3rd processing unit, the pending area for being pointed to mosquito noise area using the mosquito noise filtering weighting
Block does mosquito noise filtering process.
8. it is according to claim 7 removal mosquito noise system, it is characterised in that
The first processing units, it is general for marginal point specifically for being calculated all pixels point in the pending area block
Rate；The average for determining the probability that all pixels point is marginal point is the edge block probability of the pending area block；Treated when described
When the edge block probability of processing region block is more than predetermined threshold value, determine that the pending area is edge block.
9. it is according to claim 7 removal mosquito noise system, it is characterised in that
The first processing units, also particularly useful for the pending area block as starting point, it are chosen on each azimuth direction
Two adjacent successively neighborhood blocks, and calculate close to first neighborhood block for mosquito noise block mosquito noise block probability, with
And secondary second adjacent neighborhood block is the flat block probability of flat block；First according to the mosquito noise block determine the probability
Whether neighborhood block is mosquito noise block；Whether second neighborhood block is flat block according to the flat block determine the probability.
10. it is according to claim 7 removal mosquito noise system, it is characterised in that
3rd processing unit, specifically for choosing any pixel in the pending area block, chooses the pixel
The predetermined number neighbor pixel in the predetermined number neighbor pixel and column in being expert at is put, according to each picture
The pixel value and mosquito noise filtering weighting of vegetarian refreshments are calculated mosquito noise filter result.
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| CN110956594A (en) * | 2019-11-27 | 2020-04-03 | 北京金山云网络技术有限公司 | Image filtering method and device, electronic equipment and storage medium |
| CN113763270A (en) * | 2021-08-30 | 2021-12-07 | 青岛信芯微电子科技股份有限公司 | Mosquito noise removing method and electronic device |
| CN114360453A (en) * | 2021-12-09 | 2022-04-15 | 青岛信芯微电子科技股份有限公司 | Noise removing method and device, display equipment, chip and medium |
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| CN110956594A (en) * | 2019-11-27 | 2020-04-03 | 北京金山云网络技术有限公司 | Image filtering method and device, electronic equipment and storage medium |
| CN110956594B (en) * | 2019-11-27 | 2023-12-01 | 北京金山云网络技术有限公司 | Image filtering method, device, electronic equipment and storage medium |
| CN113763270A (en) * | 2021-08-30 | 2021-12-07 | 青岛信芯微电子科技股份有限公司 | Mosquito noise removing method and electronic device |
| CN114360453A (en) * | 2021-12-09 | 2022-04-15 | 青岛信芯微电子科技股份有限公司 | Noise removing method and device, display equipment, chip and medium |
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