CN103702016B - Vedio noise reduction method and device - Google Patents
Vedio noise reduction method and device Download PDFInfo
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- CN103702016B CN103702016B CN201310712320.5A CN201310712320A CN103702016B CN 103702016 B CN103702016 B CN 103702016B CN 201310712320 A CN201310712320 A CN 201310712320A CN 103702016 B CN103702016 B CN 103702016B
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Abstract
The present invention provides a kind of vedio noise reduction method and device, the described method comprises the following steps：Video stream signal is changed into YUV three-components, and obtains the Y-component of pixel in each two field picture in video stream signal；Y-component to each pixel is weighted statistical computation；The result and the Y-component of respective pixel calculated according to the weighted statistical judge that the pixel whether there is noise；If so, the result for then being calculated according to the weighted statistical carries out noise reduction process to respective pixel.Vedio noise reduction method and device of the invention, only needs little amount of calculation and less hardware resource, so as to obtain good noise reduction during noise reduction.
Description
Technical field
The present invention relates to technical field of image processing, and in particular to a kind of vedio noise reduction method and a kind of vedio noise reduction are filled
Put.
Background technology
The purpose of vedio noise reduction is exactly to reduce video noise.Video noise comes from many-side.Video noise origin
From in device external disturbance, such as electromagnetic wave and the external noise for entering device inside through power supply string and causing.Also have and come from device
The internal noises such as internal interference, such as thermal noise of video camera, jittering noise that electrical machinery is moved and produced.If can not have
Effect removes these noises, will have a strong impact on the subjective quality of video image, while reducing video compression efficiency.Noise can be given
The residual error of Intra blocks and Inter blocks brings more high fdrequency components, so that more bits retain these unwanted letters
Breath.In addition, the presence of noise causes that the most match block that current block is searched in reference frame becomes more difficult.In other words, if handle
To low bit- rate, noise will cause its Subjective and objective qualities to be decreased obviously to video compress.Therefore it is necessary that video is dropped
Make an uproar treatment.
Existing vedio noise reduction method mainly has pixel domain filtering process and time-domain filtering to process two kinds.Wherein, pixel domain
Wave filter is typically carried out in the operation window of the particular size centered on current pixel, and such as harmonic wave mean filter, weighting is calculated
Art average filter, α-trimmed mean filtering and medium filtering etc..This kind of method shows difference very to different types of noiseproof feature
Greatly.For example, mean filter is one of the best wave filter for removing Gaussian noise, but can fuzzy objective edge and details.In
Value filter replaces current pixel value using the intermediate value of surrounding pixel, can effectively remove impulsive noise, while avoiding edge mould
Paste, but be not fine to the removal effect of individual Gaussian noise.Pixel domain filter effect and intensity have very big relation, and intensity is too big
Edge blurry and loss in detail can be caused, the too small removal then to noise is not thorough.
In addition, time-domain filtering is mainly by motion compensation technique, in temporal tracking object of which movement and noise is filtered.Due to making an uproar
The presence of sound, the blocks and optimal matching blocks found by the method for searching motion for minimizing residual absolute value sum are frequently not actual thing
The corresponding position of body, if be directly filtered based on this will cause with obvious edge blurry and loss in detail, especially
It is when the larger situation of the power ratio of noise.
Because the amount of calculation that existing vedio noise reduction method needs is larger, so as to the hardware resource for needing consumption larger, lead
Cause noise reduction poor.
The content of the invention
Based on this, the present invention provides a kind of vedio noise reduction method and device, can effectively improve vedio noise reduction effect.
To achieve the above object, the present invention is adopted the following technical scheme that：
A kind of vedio noise reduction method, comprises the following steps：
Video stream signal is changed into YUV three-components, and obtains the Y-component of pixel in each two field picture in video stream signal；
Y-component to each pixel is weighted statistical computation；
The result and the Y-component of respective pixel calculated according to the weighted statistical judge that the pixel whether there is noise；
If so, the result for then being calculated according to the weighted statistical carries out noise reduction process to respective pixel.
A kind of vedio noise reduction device, including：
Component acquisition module, for video stream signal to be changed into YUV three-components, and obtains each two field picture in video stream signal
The Y-component of middle pixel；
Weighted statistical computing module, the Y-component to each pixel is weighted statistical computation；
Judge module, result and the Y-component of respective pixel for being calculated according to the weighted statistical judge that the pixel is
It is no to there is noise；
Noise processed module, for being in the case of being, according to the weighting system in the judged result of the judge module
The result for calculating carries out noise reduction process to respective pixel.
Scheme more than can be seen that a kind of vedio noise reduction method and device of the invention, by obtaining each two field picture
The middle three-component Y-components of pixel YUV, are then weighted statistical computation by Y-component, further according to the result pair that weighted statistical is calculated
Respective pixel carries out noise reduction process, so as to reach the effect of vedio noise reduction.Due to a kind of vedio noise reduction method of the invention and dress
It is to carry out statistical weight by each two field picture pixel Y-component to put, and the incidence relation it makes use of each pixel between video sequence does
One weighted statistical is calculated, so only needing little amount of calculation and less hardware resource during noise is processed, is improved
Vedio noise reduction effect, and can effectively prevent the edge of fuzzy objective and the situation of loss in detail.
Brief description of the drawings
Fig. 1 is a kind of vedio noise reduction method flow schematic diagram in the embodiment of the present invention；
Fig. 2 is a kind of vedio noise reduction apparatus structure schematic diagram in the embodiment of the present invention.
Specific embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
It is shown in Figure 1, a kind of vedio noise reduction method, it is characterised in that comprise the following steps：
Step S101, YUV three-components are changed into by video stream signal, and obtain in video stream signal pixel in each two field picture
Y-component；YUV is the species for compiling true-color color spaces.Wherein " Y " represents the lightness of pixel（Luminance、
Luma）, " U " and " V " then represents colourity, the concentration of pixel respectively（Chrominance、Chroma）.It should be noted that above-mentioned
Video stream signal is changed into YUV three-components can be using prior art, and it will not go into details in the present invention.
Step S102, the Y-component to each pixel is weighted statistical computation.Count the pixel of continuous multiple frames video image
Situation of change, from more away from frame, its weighing factor to each pixel of present frame is lower.It should be noted that in the present invention
Statistical computation is only weighted to Y-component, and U components keep constant with V component.
Step S103, the result and the Y-component of respective pixel calculated according to the weighted statistical judges whether the pixel deposits
In noise；If so, then there is noise in explanation, into step S104；Otherwise explanation does not exist noise, without carrying out noise reduction process.
Step S104, if there is noise, is carried out at noise reduction according to the result that the weighted statistical is calculated to respective pixel
Reason.
Used as a preferable embodiment, the process that the Y-component to each pixel is weighted statistical computation specifically may be used
With including as follows：
Statistical computation can be weighted to the Y-component of each pixel using equation below：
Mn(i,j)=Mn-1(i,j)*α+β*Yn(i,j)；
Nn(i,j)=Nn-1(i,j)*α+β*Yn(i,j)2；
Wherein, Mn(i, j) and Nn(i, j) represents the result that the weighted statistical of pixel in n-th frame image is calculated respectively；N is big
In 0 natural number；I, j are the ranks coordinate of pixel；M0(i,j)=0；N0(i,j)=0；Yn(i, j) represents the current picture of n-th frame image
The Y-component of element；α∈[0,1]；β∈[0,100].
Used as a preferable embodiment, the result and the Y-component of respective pixel calculated according to the weighted statistical judge
The pixel can specifically include as follows with the presence or absence of the process of noise：
Calculated with the Y-component of respective pixel according to the result that the weighted statistical is calculated, computing formula can be as follows：
L1=Nn(i,j)-Mn(i,j)2/255；
L2=(Yn(i,j)*255-Mn(i,j))2/255；
According to result of calculation L1With L2Judge that the pixel of correspondence frame whether there is noise.Can be according to the result of calculation L1
With L2Whether less than predetermined value come judge correspondence frame pixel whether there is noise.If so, for example, working as L1<Threshold, and L2
<threshold；Wherein threshold ∈ [12750,25500], then illustrate that the frame pixel has noise.Otherwise the frame pixel is not
There is noise, the Y-component of pixel is constant.
As a preferable embodiment, if above-mentioned judge that the pixel of corresponding frame whether there is according to result of calculation L1 and L2
The judged result of noise is for when being, then the result for being calculated according to the weighted statistical carries out the process of noise reduction process to respective pixel
Can include as follows：
Obtain the result M that the weighted statistical of the pixel that there is noise is calculatedn(i,j)；
By formula Yn(i,j)=MnThe result M that (i, j) calculates the weighted statisticaln(i, j) is assigned to respective pixel
Y-component, that is, the Y-component that there is the pixel of noise.
Corresponding with a kind of vedio noise reduction method in above-described embodiment one, the embodiment of the present invention also provides a kind of video drop
Make an uproar device, as shown in Fig. 2 including：
Component acquisition module 101, for video stream signal to be changed into YUV three-components, and obtains each frame in video stream signal
The Y-component of pixel in image；
Weighted statistical computing module 102, the Y-component to each pixel is weighted statistical computation；
Judge module 103, result and the Y-component of respective pixel for being calculated according to the weighted statistical judge the pixel
With the presence or absence of noise；
Noise processed module 104, for being in the case of being, according to the weighting in the judged result of the judge module
The result of statistical computation carries out noise reduction process to respective pixel.
Used as a preferable embodiment, the weighted statistical computing module can specifically include：
First statistics computing module, for according to formula Mn(i,j)=Mn-1(i,j)*α+β*Yn(i, j) calculates first
Statistical weight result；
Second statistics computing module, for according to formula Nn(i,j)=Nn-1(i,j)*α+β*Yn(i,j)2Calculate the
Two statistical weight results；
Wherein, Mn(i, j) and Nn(i, j) represents the result that the weighted statistical of pixel in n-th frame image is calculated respectively；N is big
In 0 natural number；I, j are the ranks coordinate of pixel；M0(i,j)=0；N0(i,j)=0；Yn(i, j) represents the current picture of n-th frame image
The Y-component of element；α∈[0,1]；β∈[0,100].
Used as a preferable embodiment, the judge module can specifically include：
Computing module, result and the Y-component of respective pixel for being calculated according to the weighted statistical are calculated, and are calculated
Formula is as follows：
L1=Nn(i,j)-Mn(i,j)2/255；
L2=(Yn(i,j)*255-Mn(i,j))2/255；
Sub- judge module, the pixel for judging corresponding frame according to result of calculation L1 and L2 whether there is noise.
Used as a preferable embodiment, the noise processed module can specifically include：
, there is the result M that the pixel weighted statistical of noise is calculated for obtaining in weighted statistical result of calculation acquisition modulen
(i,j)；
Assignment module, for the result M for calculating the weighted statisticaln(i, j) is assigned to the Y-component of respective pixel.
A kind of other technical characteristics of above-mentioned vedio noise reduction device are identical with a kind of vedio noise reduction method of the invention, herein
It will not go into details.
Scheme more than can be seen that a kind of vedio noise reduction method and device of the invention, by obtaining each frame figure
The three-component Y-components of pixel YUV as in, are then weighted statistical computation by Y-component, further according to the result that weighted statistical is calculated
Noise reduction process is carried out to respective pixel, so as to reach the effect of vedio noise reduction.Due to a kind of vedio noise reduction method of the invention and
Device is to carry out statistical weight by each two field picture pixel Y-component, it makes use of the incidence relation of each pixel between video sequence
Do a weighted statistical to calculate, so only needing little amount of calculation and less hardware resource during noise is processed, carry
Vedio noise reduction effect high, and can effectively prevent the edge of fuzzy objective and the situation of loss in detail.
Due to a kind of vedio noise reduction method and device of the invention treatment treatment noise during amount of calculation and need
Such as the hardware resource wanted is all little, it is possible to suitable for the very limited system of computing capability, hardware resource is limited and real-time
In the exigent video conferencing system of property.
It should be noted that the description of specific distinct unless the context otherwise, element and component in the present invention, quantity was both
Can exist in single form, it is also possible to which multiple forms is present, the present invention is defined not to this.In addition, in the present invention
Although the step of arranged with label, be not used to limit the precedence of step, unless expressly stated step
The execution of order or certain step is needed based on other steps, and the relative rank of otherwise step is adjustable.
Embodiment described above only expresses several embodiments of the invention, and its description is more specific and detailed, but simultaneously
Therefore the limitation to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Shield scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (6)
1. a kind of vedio noise reduction method, it is characterised in that comprise the following steps：
Video stream signal is changed into YUV three-components, and obtains the Y-component of pixel in each two field picture in video stream signal；
Y-component to each pixel is weighted statistical computation；Wherein, the Y-component of each pixel is weighted using equation below
Statistical computation：
Mn(i, j)=Mn-1(i,j)*α+β*Yn(i,j)；
Nn(i, j)=Nn-1(i,j)*α+β*Yn(i,j)2；
Wherein, Mn(i, j) and Nn(i, j) represents the result that the weighted statistical of pixel in n-th frame image is calculated respectively；N is more than 0
Natural number；I, j are the ranks coordinate of pixel；M0(i, j)=0；N0(i, j)=0；Yn(i, j) represents the current picture of n-th frame image
The Y-component of element；α∈[0,1]；β∈[0,100]；
The result and the Y-component of respective pixel calculated according to the weighted statistical judge that the pixel whether there is noise；
If so, the result for then being calculated according to the weighted statistical carries out noise reduction process to respective pixel.
2. vedio noise reduction method according to claim 1, it is characterised in that the result that is calculated according to the weighted statistical and
The Y-component of respective pixel judges that the pixel includes with the presence or absence of the process of noise：
Calculated with the Y-component of respective pixel according to the result that the weighted statistical is calculated, computing formula is as follows：
L1=Nn(i,j)-Mn(i,j)2/255；
L2=(Yn(i,j)*255-Mn(i,j))2/255；
According to result of calculation L1With L2Judge that the pixel of correspondence frame whether there is noise.
3. vedio noise reduction method according to claim 1 and 2, it is characterised in that according to the knot that the weighted statistical is calculated
Fruit includes to the process that respective pixel carries out noise reduction process：
There is the result M that the pixel weighted statistical of noise is calculated in acquisitionn(i,j)；
The result M that the weighted statistical is calculatedn(i, j) is assigned to the Y-component of respective pixel.
4. a kind of vedio noise reduction device, it is characterised in that including：
Component acquisition module, for video stream signal to be changed into YUV three-components, and obtains in video stream signal picture in each two field picture
The Y-component of element；
Weighted statistical computing module, the Y-component to each pixel is weighted statistical computation；Wherein, the weighted statistical calculates mould
Block includes：
First statistics computing module, for according to formula Mn(i, j)=Mn-1(i,j)*α+β*Yn(i, j) calculates first and unites
Meter weighted results；
Second statistics computing module, for according to formula Nn(i, j)=Nn-1(i,j)*α+β*Yn(i,j)2Second is calculated to unite
Meter weighted results；
Wherein, Mn(i, j) and Nn(i, j) represents the result that the weighted statistical of pixel in n-th frame image is calculated respectively；N is more than 0
Natural number；I, j are the ranks coordinate of pixel；M0(i, j)=0；N0(i, j)=0；Yn(i, j) represents the current picture of n-th frame image
The Y-component of element；α∈[0,1]；β∈[0,100]；
Judge module, result and the Y-component of respective pixel for being calculated according to the weighted statistical judge whether the pixel deposits
In noise；
Noise processed module, for being in the case of being, according to the weighted statistical meter in the judged result of the judge module
The result of calculation carries out noise reduction process to respective pixel.
5. vedio noise reduction device according to claim 4, it is characterised in that the judge module includes：
Computing module, result and the Y-component of respective pixel for being calculated according to the weighted statistical are calculated, computing formula
It is as follows：
L1=Nn(i,j)-Mn(i,j)2/255；
L2=(Yn(i,j)*255-Mn(i,j))2/255；
Sub- judge module, for according to result of calculation L1With L2Judge that the pixel of correspondence frame whether there is noise.
6. the vedio noise reduction device according to claim 4 or 5, it is characterised in that the noise processed module includes：
, there is the result M that the pixel weighted statistical of noise is calculated for obtaining in weighted statistical result of calculation acquisition modulen(i,j)；
Assignment module, for the result M for calculating the weighted statisticaln(i, j) is assigned to the Y-component of respective pixel.
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