CN109978775A - Color denoising method and device - Google Patents
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Abstract
The present invention provides a kind of color denoising method, comprising: carries out wavelet decomposition to the channel U of YUV image, the channel Y and the channel V respectively；Respectively to after wavelet decomposition the channel U and the channel V carry out the contraction of high-frequency sub-band soft-threshold；Low frequency sub-band bilateral filtering is carried out to the channel Y after wavelet decomposition；Based on the channel Y after low frequency sub-band bilateral filtering, three side of joint for carrying out the channel U and the channel Y to the low frequency sub-band in the channel U is filtered, and three side of joint for carrying out the channel V and the channel Y to the low frequency sub-band in the channel V filters；The filtered channel U in the channel U and three sides of joint after high-frequency sub-band soft-threshold is shunk carries out wavelet reconstruction, and the filtered channel V in the channel V and three sides of joint after high-frequency sub-band soft-threshold is shunk carries out wavelet reconstruction；YUV image after the channel U, the channel V and unfiltered Y combination of channels are denoised.The present invention can effectively inhibit color noise, while prevent the color overflow problem introduced when color denoises, promote picture quality.
Description
Technical field
The present invention relates to technical field of image processing more particularly to a kind of color denoising method and devices.
Background technique
The imaging sensor of mobile terminal generallys use CMOS (Complementary Metal Oxide
Semiconductor, complementary metal oxide semiconductor) chip, due to CMOS chip have the characteristics that noise it is big or due to
The manufacturing process problem of sensor, the picture number that image-signal processor (Image Signal Processor, ISP) obtains
According to color noise is generally also contained, image data needs to inhibit color noise after the pre-treatment of ISP.
Color denoising is an extremely important link in digital video signal processor, and the quality of color denoising is often
Directly reflect the level of image-signal processor.
There are two main classes for color Denoising Algorithm: one kind assumes that the color of image is concentrated mainly on a line, and according to
The color of image along line in ellipsoid be distributed, using based on principal component analysis (Principle Component Analysis,
PCA method) extracts the main ingredient of color, to obtain the line that color was concentrated originally, achievees the purpose that denoising.
Another kind of denoising is that color is denoised as common denoising and carried out as single channel by Color Channel
Processing uses the method for conventional image denoising.Such methods do not account for the associate feature between Color Channel.Have very
The serious color overflow problem of weight.
The noise model of imaging sensor itself is different, while by obtaining after image-signal processor pre-treatment
The image arrived the usually no longer basic assumption of Gaussian distributed is difficult to find suitable statistical distribution modeling noise, and makes an uproar
The granularity of sound is also not of uniform size, therefore the poor effect that the Image denoising algorithm based on statistical hypothesis frequently results in.
Color image is in YUV color space, three channel communication with one another, isolates the calculation come for Color Channel is single
Method does not often use the relevance of color space, and in edge, color is overflowed very serious.
Summary of the invention
Color denoising method provided by the invention and device, can effectively inhibit color noise, while preventing in color
The color overflow problem introduced when denoising promotes picture quality.
In a first aspect, the present invention provides a kind of color denoising method, comprising:
Wavelet decomposition is carried out to the channel U of YUV image, the channel Y and the channel V respectively；
Respectively to after wavelet decomposition the channel U and the channel V carry out the contraction of high-frequency sub-band soft-threshold；
Low frequency sub-band bilateral filtering is carried out to the channel Y after wavelet decomposition；
Based on the channel Y after low frequency sub-band bilateral filtering, to the low frequency sub-band in the channel U after wavelet decomposition
Three side of the joint filtering for carrying out the channel U and the channel Y carries out the channel V and Y to the low frequency sub-band in the channel V after wavelet decomposition
Three side of joint in channel filters；
By the U multi-channel high frequency subband after the contraction of high-frequency sub-band soft-threshold and by the joint filtered channel U in three sides
Low frequency sub-band carries out wavelet reconstruction, by the V multi-channel high frequency subband after the contraction of high-frequency sub-band soft-threshold and by three sides of joint
Filtered V channel low frequency subband carries out wavelet reconstruction；
It will be combined by the channel U of wavelet reconstruction, by the channel V and the unfiltered channel Y of wavelet reconstruction,
YUV image after being denoised.
Optionally, the coefficient that the high-frequency sub-band soft-threshold is shunk is determined according to following formula:
Wherein, slope k=(ratio2- of k straight line between (thresh1, ratio1) and (thresh2, ratio2)
Ratio1)/(thresh2-thresh1), high-frequency sub-band coefficient is after filtering are as follows: pdenoised=ratiopvalue。
Optionally, when carrying out the low frequency sub-band bilateral filtering, two-sided filter output pixel value depends on neighborhood picture
The weighted array of the value of element, meets following formula:
Wherein, weight factor is weightedIt is distributed depending on domain and codomain core:
Optionally, for the image in the channel U, when carrying out the filtering of three sides of the joint, trilateral filter meets following formula:
Wherein, weight factor is weightedIt is distributed depending on domain and codomain core:
Second aspect, the present invention provide a kind of color denoising device, comprising:
Wavelet decomposition unit carries out wavelet decomposition for the channel U, the channel Y and the channel V respectively to YUV image；
High frequency shrink unit, for respectively to after wavelet decomposition the channel U and the channel V carry out the soft threshold of high-frequency sub-band
Value is shunk；
Bilateral filtering unit, for carrying out low frequency sub-band bilateral filtering to the channel Y after wavelet decomposition；
Three side filter units, for based on the channel Y after low frequency sub-band bilateral filtering, to after wavelet decomposition
The low frequency sub-band in the channel U carry out three side of the joint filtering in the channel U and the channel Y, to the low of the channel V after wavelet decomposition
Frequency subband carries out three side of the joint filtering in the channel V and the channel Y；
Wavelet reconstruction unit, for by the U multi-channel high frequency subband after the contraction of high-frequency sub-band soft-threshold and joint will to be passed through
The filtered U channel low frequency subband in three sides carries out wavelet reconstruction, by the V multi-channel high frequency after the contraction of high-frequency sub-band soft-threshold
The filtered V channel low frequency subband of subband and three sides of process joint carries out wavelet reconstruction；
Combination of channels unit, will be by the channel U, the channel V by wavelet reconstruction and the unfiltered Y of wavelet reconstruction
Channel is combined, the YUV image after being denoised.
Optionally, the coefficient that the high-frequency sub-band soft-threshold is shunk is determined according to following formula:
Wherein, slope k=(ratio2- of k straight line between (thresh1, ratio1) and (thresh2, ratio2)
Ratio1)/(thresh2-thresh1), high-frequency sub-band coefficient is after filtering are as follows: pdenoised=ratiopvalue。
Optionally, when carrying out the low frequency sub-band bilateral filtering, two-sided filter output pixel value depends on neighborhood picture
The weighted array of the value of element, meets following formula:
Wherein, weight factor is weightedIt is distributed depending on domain and codomain core:
Optionally, for the image in the channel U, when carrying out the filtering of three sides of the joint, trilateral filter meets following formula:
Wherein, weight factor is weightedIt is distributed depending on domain and codomain core:
Color denoising method provided in an embodiment of the present invention and device can be very due to the multi-resolution decomposition using small echo
Well simultaneously inhibit large area colored speckles and short grained color noise；Tri- channel combined filtering of YUV are used simultaneously
Trilateral filter, be input with yuv data, YUV triple channel combined calculation filter weight instructs weighted filtering, so as to
The marginal information for enough combining three channels does edge judgement, can prevent the color introduced when color denoises from overflowing well
Problem promotes picture quality.
Detailed description of the invention
Fig. 1 is the flow chart of one embodiment of the invention color denoising method；
Fig. 2 is the flow chart of another embodiment of the present invention color denoising method；
Fig. 3 is threshold value shrinkage curve figure provided in an embodiment of the present invention；
Fig. 4 is the structural schematic diagram that one embodiment of the invention color denoises device.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
It is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, the common skill in this field
Art personnel every other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
The embodiment of the present invention provides a kind of color denoising method, as shown in Figure 1, which comprises
S11, wavelet decomposition is carried out to the channel U of YUV image, the channel Y and the channel V respectively.
S12, respectively to after wavelet decomposition the channel U and the channel V carry out the contraction of high-frequency sub-band soft-threshold.
S13, low frequency sub-band bilateral filtering is carried out to the channel Y after wavelet decomposition.
S14, based on the channel Y after low frequency sub-band bilateral filtering, to the low frequency in the channel U after wavelet decomposition
Subband carries out three side of the joint filtering in the channel U and the channel Y, and it is logical to carry out V to the low frequency sub-band in the channel V after wavelet decomposition
The filtering of three side of joint in road and the channel Y.
S15, by by high-frequency sub-band soft-threshold contraction after U multi-channel high frequency subband and by joint the filtered U in three sides
Channel low frequency subband carries out wavelet reconstruction, by the V multi-channel high frequency subband after the contraction of high-frequency sub-band soft-threshold and by combining
The filtered V channel low frequency subband in three sides carries out wavelet reconstruction.
S16, group will be carried out by the channel U of wavelet reconstruction, by the channel V and the unfiltered channel Y of wavelet reconstruction
It closes, the YUV image after being denoised.
Color denoising method provided in an embodiment of the present invention can be same well due to the multi-resolution decomposition using small echo
When inhibit large area colored speckles and short grained color noise；Three sides of tri- channel combined filtering of YUV are used simultaneously
Filter, is input with yuv data, and YUV triple channel combined calculation filter weight instructs weighted filtering, so as to combine
The marginal information in three channels does edge judgement, can prevent the color overflow problem introduced when color denoises well, mention
Rise picture quality.
Color denoising method of the present invention is described in detail below.
The present embodiment carries out noise suppressed using the Three Channel Color image of yuv format as input, to UV channel image.
While noise reduction, combine YUV triple channel information very well, the low frequency colour for needing to be directed in UV denoising can effectively be inhibited to make an uproar
Sound also effectively inhibits simultaneously for the pseudo-colours at edge, can be good at preventing color from overflowing, and very well promotes image matter
Amount.The flow chart of the present embodiment is as shown in Figure 2.
The channel UV generally comprises high and low frequency color noise, and due to the influence of noise, the channel UV color edges intensity is not
It is enough, single channel is filtered and is usually associated with color spillover, the channel Y has already passed through denoising, has good edge
Feature, therefore the marginal information in the channel Y is combined to coach the filtering in the channel UV, the edge of UV can be kept well, very well
Inhibit color spillover.
The present embodiment uses haar (Ha Er) small echo as multiresolution analysis carrier, after haar wavelet decomposition
The channel Y noise reduction is carried out in pyramid structure, the specific method is as follows:
One, Haar wavelet decomposition
Haar wavelet filter length is 2, and Haar wavelet decomposition process is illustrated by taking 2X2 image block as an example:
Decomposition formula are as follows:
LL low frequency sub-band: ALL=a11+a12+a21+a22
LH high-frequency sub-band: ALH=a11-a12+a21-a22
HL high-frequency sub-band: AHL=a11+a12-a21-a22
HH high-frequency sub-band: AHH=a11-a12-a21+a22
Two, UV high-frequency sub-band soft-threshold is shunk
Since wavelet decomposition is Orthogonal Decomposition, the mutual independent orthogonal of each layer of high-frequency sub-band, therefore for each height
Frequency subband can be handled simultaneously respectively.For high-frequency sub-band, using improved soft-threshold contraction method.Threshold value is shunk bent
Line is as shown in Figure 3.
Specific calculating process is as follows:
Wherein, slope k=(ratio2- of k straight line between (thresh1, ratio1) and (thresh2, ratio2)
Ratio1)/(thresh2-thresh1), high-frequency sub-band coefficient is after filtering are as follows: pdenoised=ratiopvalue
Three, Y channel low frequency subband bilateral filtering
Classical small echo is hard/and soft-threshold contraction algorithm assumes that noise is white noise, and common high-frequency sub-band coefficients model is
It can reach denoising effect well, but pass through the Y channel image of lens correction (lens shading) and ISP pre-treatment
It is frequently not white Gaussian noise, bulky grain noise, i.e. low-frequency noise is usually contained in image, based on this consideration, the present embodiment draws
Enter the method being filtered for the low frequency sub-band of small echo.Classical gaussian filtering does not have edge retention performance, but edge is believed
Breath is extremely important for the post-processing of image, here, using the bilateral filtering method that there is edge to keep.
Bilateral filtering is a kind of non-linear filtering method, in conjunction with image spatial neighbor degree and pixel value similarity one
Kind of processing, for two dimensional image, weighted array of the two-sided filter output pixel value dependent on the value of neighborhood territory pixel, under satisfaction
Formula:
Wherein weight weight factorIt is distributed depending on domain and codomain core:
Four, three side of UV channel low frequency subband filters
Due to containing low-frequency noise in the channel UV, edge is also kept while inhibiting low-frequency noise, to reach anti-
The phenomenon that color is overflowed is controlled, the channel Y is added in Gray homogeneity (range) side in the present embodiment on the two-sided filter in the channel U/V
To weight, to constitute a trilateral filter.For the image in the channel U, trilateral filter meets following formula:
Here weight factor is weightedIt is distributed depending on domain and codomain core:
Similarly, for the low frequency sub-band in the channel V, low-frequency noise is also carried out using the method that three side of joint of V and Y filters
Inhibit, details are not described herein.
The embodiment of the present invention also provides a kind of color denoising device, as shown in figure 3, described device includes:
Wavelet decomposition unit 11 carries out wavelet decomposition for the channel U, the channel Y and the channel V respectively to YUV image；
High frequency shrink unit 12, for respectively to after wavelet decomposition the channel U and the channel V carry out high-frequency sub-band it is soft
Threshold value is shunk；
Bilateral filtering unit 13, for carrying out low frequency sub-band bilateral filtering to the channel Y after wavelet decomposition；
Three side filter units 14, for based on the channel Y after low frequency sub-band bilateral filtering, to passing through wavelet decomposition
The low frequency sub-band in the channel U afterwards carries out three side of the joint filtering in the channel U and the channel Y, to the channel V after wavelet decomposition
Low frequency sub-band carries out three side of the joint filtering in the channel V and the channel Y；
Wavelet reconstruction unit 15, for by the U multi-channel high frequency subband after the contraction of high-frequency sub-band soft-threshold and connection will to be passed through
It closes the filtered U channel low frequency subband in three sides and carries out wavelet reconstruction, the channel V after the contraction of high-frequency sub-band soft-threshold is high
The filtered V channel low frequency subband of frequency subband and three sides of process joint carries out wavelet reconstruction；
Combination of channels unit 16, by by the channel U of wavelet reconstruction, by the channel V of wavelet reconstruction and unfiltered
The channel Y is combined, the YUV image after being denoised.
Color provided in an embodiment of the present invention denoises device, can be same well due to the multi-resolution decomposition using small echo
When inhibit large area colored speckles and short grained color noise；Three sides of tri- channel combined filtering of YUV are used simultaneously
Filter, is input with yuv data, and YUV triple channel combined calculation filter weight instructs weighted filtering, so as to combine
The marginal information in three channels does edge judgement, can prevent the color overflow problem introduced when color denoises well, mention
Rise picture quality.
Optionally, the coefficient that the high-frequency sub-band soft-threshold is shunk is determined according to following formula:
Wherein, slope k=(ratio2- of k straight line between (thresh1, ratio1) and (thresh2, ratio2)
Ratio1)/(thresh2-thresh1), high-frequency sub-band coefficient is after filtering are as follows: pdenoised=ratiopvalue。
Optionally, when carrying out the low frequency sub-band bilateral filtering, two-sided filter output pixel value depends on neighborhood picture
The weighted array of the value of element, meets following formula:
Wherein, weight factor is weightedIt is distributed depending on domain and codomain core:
Optionally, for the image in the channel U, when carrying out the filtering of three sides of the joint, trilateral filter meets following formula:
Wherein, weight factor is weightedIt is distributed depending on domain and codomain core:
The device of the present embodiment can be used for executing the technical solution of above method embodiment, realization principle and technology
Effect is similar, and details are not described herein again.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can
It is completed with instructing relevant hardware by computer program, the program can be stored in a computer-readable storage
In medium, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can
For magnetic disk, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random
Access Memory, RAM) etc..
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by those familiar with the art, should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (8)
1. a kind of color denoising method characterized by comprising
Wavelet decomposition is carried out to the channel U of YUV image, the channel Y and the channel V respectively；
Respectively to after wavelet decomposition the channel U and the channel V carry out the contraction of high-frequency sub-band soft-threshold；
Low frequency sub-band bilateral filtering is carried out to the channel Y after wavelet decomposition；
Based on the channel Y after low frequency sub-band bilateral filtering, U is carried out to the low frequency sub-band in the channel U after wavelet decomposition
Three side of joint in channel and the channel Y filters, the low frequency sub-band progress channel V and the channel Y to the channel V after wavelet decomposition
Combine the filtering of three sides；
By the U multi-channel high frequency subband after the contraction of high-frequency sub-band soft-threshold and by the joint filtered U channel low frequency in three sides
Subband carries out wavelet reconstruction, by the V multi-channel high frequency subband after the contraction of high-frequency sub-band soft-threshold and by the filtering of three sides of joint
V channel low frequency subband afterwards carries out wavelet reconstruction；
It will be combined, gone by the channel U of wavelet reconstruction, by the channel V and the unfiltered channel Y of wavelet reconstruction
YUV image after making an uproar.
2. the method according to claim 1, wherein the coefficient that the high-frequency sub-band soft-threshold is shunk is according to as follows
Formula determines:
Wherein, slope k=(ratio2- of k straight line between (thresh1, ratio1) and (thresh2, ratio2)
Ratio1)/(thresh2-thresh1), high-frequency sub-band coefficient is after filtering are as follows: pdenoised=ratiopvalue。
3. the method according to claim 1, wherein when carrying out the low frequency sub-band bilateral filtering, bilateral filter
Weighted array of the wave device output pixel value dependent on the value of neighborhood territory pixel, meets following formula:
Wherein, weight factor is weightedIt is distributed depending on domain and codomain core:
4. the method according to claim 1, wherein being filtered for the image in the channel U carrying out three sides of the joint
When wave, trilateral filter meets following formula:
Wherein, weight factor is weightedIt is distributed depending on domain and codomain core:
5. a kind of color denoises device characterized by comprising
Wavelet decomposition unit carries out wavelet decomposition for the channel U, the channel Y and the channel V respectively to YUV image；
High frequency shrink unit, for respectively to after wavelet decomposition the channel U and the channel V carry out high-frequency sub-band soft-threshold receipts
Contracting；
Bilateral filtering unit, for carrying out low frequency sub-band bilateral filtering to the channel Y after wavelet decomposition；
Three side filter units, for leading to the U after wavelet decomposition based on the channel Y after low frequency sub-band bilateral filtering
The low frequency sub-band in road carries out three side of the joint filtering in the channel U and the channel Y, to the low frequency sub-band in the channel V after wavelet decomposition
Carry out three side of the joint filtering in the channel V and the channel Y；
Wavelet reconstruction unit, for by the U multi-channel high frequency subband after the contraction of high-frequency sub-band soft-threshold and three sides of joint will to be passed through
Filtered U channel low frequency subband carries out wavelet reconstruction, by after the contraction of high-frequency sub-band soft-threshold V multi-channel high frequency subband and
Wavelet reconstruction is carried out by the filtered V channel low frequency subband in three sides of joint；
Combination of channels unit, by by wavelet reconstruction the channel U, by wavelet reconstruction the channel V and the unfiltered channel Y into
Row combination, the YUV image after being denoised.
6. device according to claim 5, which is characterized in that the coefficient that the high-frequency sub-band soft-threshold is shunk is according to as follows
Formula determines:
Wherein, slope k=(ratio2- of k straight line between (thresh1, ratio1) and (thresh2, ratio2)
Ratio1)/(thresh2-thresh1), high-frequency sub-band coefficient is after filtering are as follows: pdenoised=ratiopvalue。
7. device according to claim 5, which is characterized in that when carrying out the low frequency sub-band bilateral filtering, bilateral filter
Weighted array of the wave device output pixel value dependent on the value of neighborhood territory pixel, meets following formula:
Wherein, weight factor is weightedIt is distributed depending on domain and codomain core:
8. device according to claim 5, which is characterized in that for the image in the channel U, filtered carrying out three sides of the joint
When wave, trilateral filter meets following formula:
Wherein, weight factor is weightedIt is distributed depending on domain and codomain core:
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