CN102316248B - Noise removing method and device - Google Patents
Noise removing method and device Download PDFInfo
- Publication number
- CN102316248B CN102316248B CN 201010221734 CN201010221734A CN102316248B CN 102316248 B CN102316248 B CN 102316248B CN 201010221734 CN201010221734 CN 201010221734 CN 201010221734 A CN201010221734 A CN 201010221734A CN 102316248 B CN102316248 B CN 102316248B
- Authority
- CN
- China
- Prior art keywords
- pixel
- diff
- coordinate
- brightness value
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Image Processing (AREA)
Abstract
The invention provides a noise removing method and a noise removing device, which are applied to an analogue television technology. The method comprises the following steps of: sequentially receiving input images of each frame; and for each pixel Y with coordinates (x, y) in the image M of each frame from the received image of a second frame, performing the processing of determining correlation coefficients between the pixel Y and pixels YF with the coordinates (x, y) in the image N of a previous frame of the image M, selecting three areas comprising the pixels YF from the image N, calculating an absolute value of a difference between the sum of brightness values of each pixel in each area and the sum of brightness values of each pixel in an area which is selected from the image M and comprises the pixel Y, determining the brightness value of the pixel Y according to the correlation coefficients and the absolute value, and endowing the determined brightness value to the pixel Y, wherein the numbers of the pixels in all the areas are the same. By the scheme provided by the invention, noises can be effectively removed, thereby eliminating bright spots and dark spots suddenly appearing in a television picture.
Description
Technical field
The present invention relates to the simulated television technology, particularly remove the method and apparatus of noise in a kind of simulated television.
Background technology
In the existing simulated television technology, because a variety of causes is always sneaked into various interference signals, such as noise in TV signal.The existence meeting of noise shows as emergent bright spot or stain so that television picture quality is affected, and therefore must try every possible means to remove, but also not have a kind of effective removal method in the prior art.
Summary of the invention
In view of this, main purpose of the present invention is to provide a kind of method of removing noise, can effectively remove noise, thereby eliminates emergent bright spot and stain in the television image.
Another object of the present invention is to provide a kind of device of removing noise, can effectively remove noise, thereby eliminate emergent bright spot and stain in the television image.
For achieving the above object, technical scheme of the present invention is achieved in that
A kind of method of removing noise is applied in the simulated television technology, receives successively each two field picture of input, from the 2nd two field picture that receives, is the pixel Y of (x, y) for each coordinate among every two field picture M, carries out respectively following processing:
A1, determine that coordinate is the relative coefficient of the pixel YF of (x, y) among the former frame image N of described pixel Y and described image M;
B1, from described image N, select three zones that comprise described pixel YF, absolute value diff_Y_YFL, diff_Y_YF and the diff_Y_YFR of the difference of the brightness value sum of each pixel in the brightness value sum of calculating respectively each pixel in each zone and one that from described image M, the selects zone that comprises described pixel Y, the pixel number that comprises in each zone is all identical;
C1, determine the brightness value of described pixel Y according to described relative coefficient, diff_Y_YFL, diff_Y_YF and diff_Y_YFR, and with the brightness value assignment determined to described pixel Y.
A kind of device of removing noise is applied to comprise in the simulated television technology:
Receiver module is used for receiving each two field picture of input, and sends to processing module;
Described processing module, be used for from the 2nd two field picture that receives, be (x for each coordinate among every two field picture M, y) pixel Y, coordinate is (x among the former frame image N of definite described pixel Y and described image M respectively, y) relative coefficient of pixel YF, and from described image N, select three zones that comprise described pixel YF, the absolute value diff_Y_YFL of the difference of the brightness value sum of each pixel in the brightness value sum of calculating respectively each pixel in each zone and one that from described image M, the selects zone that comprises described pixel Y, diff_Y_YF and diff_Y_YFR, the pixel number that comprises in each zone is all identical; Determine the brightness value of described pixel Y according to described relative coefficient, diff_Y_YFL, diff_Y_YF and diff_Y_YFR, and give described pixel Y with the brightness value assignment determined.
As seen, adopt technical scheme of the present invention, in conjunction with the former frame image of current frame image, adopt three-dimensional median filtering method to detect each pixel, and as required it is carried out again assignment, thus effectively removed noise, and then eliminated emergent bright spot and stain on the television image; In addition, scheme of the present invention does not have the too much former frame image that depends on when pixel is carried out again assignment, therefore motion blur phenomenon can not occur; Have, scheme of the present invention only can realize by some simple calculating, realizes that cost is lower, is convenient to popularize again.
Description of drawings
Fig. 1 is the flow chart that the present invention removes the embodiment of the method for noise.
Fig. 2 is the position view of used pixel when determining relative coefficient among the inventive method embodiment.
Fig. 3 is the Three regions schematic diagram of selecting from image N among the inventive method embodiment.
Fig. 4 is an area schematic of selecting from image M among the inventive method embodiment.
Fig. 5 is the composition structural representation that the present invention removes the device embodiment of noise.
Embodiment
For problems of the prior art, a kind of scheme of brand-new removal noise is proposed among the present invention, namely in conjunction with the former frame image of current frame image, adopt three-dimensional median filtering method to remove noise.
For make technical scheme of the present invention clearer, understand, referring to the accompanying drawing embodiment that develops simultaneously, scheme of the present invention is described in further detail.
Fig. 1 is the flow chart that the present invention removes the embodiment of the method for noise.In the present embodiment, receive successively each two field picture of input, and from the 2nd two field picture that receives, be the pixel Y of (x, y) for each coordinate among every two field picture M, process according to mode shown in Figure 1 respectively.
Step 11: determine that coordinate is the relative coefficient of the pixel YF of (x, y) among the former frame image N of pixel Y and image M; From image N, select three zones that comprise pixel YF, absolute value diff_Y_YFL, diff_Y_YF and the diff_Y_YFR of the difference of the brightness value sum of each pixel in the brightness value sum of calculating respectively each pixel in each zone and one that from image M, the selects zone that comprises pixel Y.
The pixel number that comprises in above-mentioned each zone is all identical, is assumed to be 9 in the present embodiment, and each regional shape is all identical.In addition, in the above-mentioned coordinate (x, y), x represents abscissa, shows the row at pixel place, and y represents ordinate, shows the row at pixel place.
In this step, determine that at first coordinate among the former frame image N of pixel Y and image M is the relative coefficient (in actual applications, but the former frame image N of buffer memory current frame image) of the pixel YF of (x, y), specific implementation comprises:
1) coordinate is (x-1 among the difference computed image N, y-1) coordinate is (x-1 in pixel YF_UP_L and the image M, y-1) coordinate is (x-1 among pixel Y_UP_L, the image N, y) coordinate is (x-1 in pixel YF_UP and the image M, y) pixel Y UP, and coordinate is (x-1 among the image N, y+1) coordinate is (x-1 in pixel YF_UP_R and the image M, the absolute value of the difference of the brightness value of pixel Y_UP_R y+1), and with three absolute value additions, namely have:
Abs(Y_UP_L-YF_UP_L)+abs(Y_UP-YF_UP)+abs(Y_UP_R-YF_UP_R)。
Fig. 2 is the position view of used pixel when determining relative coefficient among the inventive method embodiment.As shown in Figure 2, what adopt in the present embodiment is x-1 among image M and the image N pixel on capable, if only from scheme realization itself, also can adopt the pixel of the capable or x+1 of x on capable, with x behavior example, be that coordinate is (x among the computed image N, y-1) coordinate is (x in pixel YF_UP_L and the image M, y-1) pixel Y_UP_L, coordinate is (x among the image N, y) coordinate is (x in pixel YF_UP and the image M, y) pixel Y_UP, and coordinate is (x among the image N, y+1) coordinate is the absolute value of difference of brightness value of the pixel Y_UP_R of (x, y+1) in pixel YF_UP_R and the image M.
2) determine that whether Abs (Y_UP_L-YF_UP_L)+abs (Y_UP-YF_UP)+abs (Y_UP_R-YF_UP_R) is less than predefined first threshold NR3D_MEDIAN_DIFF_L;
If not, determine that then relative coefficient UPsimilar is 0;
If so, then with after the brightness value of the brightness value of pixel Y, pixel YF and 1 summation divided by 2, namely (Y+YF+1)/2 suppose that result of calculation is Avg; The absolute value of the difference of the brightness value of calculating Avg and pixel YF, be abs (Avg-YF), and whether definite abs (Avg-YF) is less than predefined Second Threshold NR3D_MEDIAN_DIFF_M, if, determine that then relative coefficient UPsimilar is 1, otherwise, determine that relative coefficient UPsimilar is 0.
Determine after the relative coefficient, calculate the Three regions select respectively from image N and the luminance difference between the zone of selecting from image M, specific implementation comprises:
1) calculates respectively the brightness value sum of each pixel in the Three regions of from image N, selecting and the brightness value sum of each pixel from a zone of from image M, selecting.
Fig. 3 is the Three regions schematic diagram of selecting from image N among the inventive method embodiment.As shown in Figure 3, according to order from left to right, first zone is (x-1 by coordinate, y-2) pixel YF_UP_LL, coordinate is (x-1, y-1) pixel YF_UP_L, coordinate is (x-1, y) pixel YF_UP, coordinate is (x, y-2) pixel YF_LL, coordinate is (x, y-1) pixel YF_L, coordinate is (x, y) pixel YF, coordinate is (x+1, y-2) pixel YF_DN_LL, coordinate is the pixel YF_DN_L of (x+1, y-1), and the pixel YF_DN of (x+1, y) forms; Second zone is (x-1 by coordinate, y-1) pixel YF_UP_L, coordinate are (x-1, y) pixel YF_UP, coordinate are (x-1, y+1) pixel YF_UP_R, coordinate are (x, y-1) pixel YF_L, coordinate are (x, y) pixel YF, coordinate are (x, y+1) pixel YF_R, coordinate are (x+1, y-1) pixel YF_DN_L, coordinate are (x+1, y) pixel YF_DN and coordinate are that the pixel YF_DN_R of (x+1, y+1) forms; Three regions is (x-1 by coordinate, y) pixel YF_UP, coordinate are (x-1, y+1) pixel YF_UP_R, coordinate are (x-1, y+2) pixel YF_UP_RR, coordinate are (x, y) pixel YF, coordinate are (x, y+1) pixel YF_R, coordinate are (x, y+2) pixel YF_RR, coordinate are (x+1, y) pixel YF_DN, coordinate are (x+1, y+1) pixel YF_DN_R and coordinate are that the pixel YF_DN_RR of (x+1, y+2) forms.
Fig. 4 is an area schematic of selecting from image M among the inventive method embodiment.As shown in Figure 4, this zone is (x-1 by coordinate in the image M, y-1) pixel Y_UP_L, coordinate are (x-1, y) pixel Y_UP, coordinate are (x-1, y+1) pixel Y_UP_R, coordinate are (x, y-1) pixel Y_L, coordinate are (x, y) pixel Y, coordinate are (x, y+1) pixel Y_R, coordinate are (x+1, y-1) pixel Y_DN_L, coordinate are (x+1, y) pixel Y_DN and coordinate are formed by the pixel Y_DN_R of (x+1, y+1).
Wherein, the brightness value sum of each pixel in the Three regions among the image N is respectively:
sumYF_L＝YF_UP_LL+YF_UP_L+YF_UP
+YF_LL+YF_L+YF+
YF_DN_LL+YF_DN_L+YF_DN；
sumYF＝YF_UP_L+YF_UP+YF_UP_R+
YF_L+YF+YF_R+
YF_DN_L+YF_DN+YF_DN_R；
sumYF_R＝YF_UP+YF_UP_R+YF_UP_RR+
YF+YF_R+YF_RR+
YF_DN+YF_DN_R+YF_DN_RR。
The brightness value sum of each pixel in the zone in the image M is:
sumY＝Y_UP_L+Y_UP+Y_UP_R+
Y_L+Y+Y_R+
Y_DN_L+Y_DN+Y_DN_R。
2) calculate respectively the absolute value of the difference of sumYF_L, sumYF and sumYF_R and sumY, that is:
diff_Y_YFL＝abs(sumYF_L-sumY)；
diff_Y_YF＝abs(sumYF-sumY)；
diff_Y_YFR＝abs(sumYF_R-sumY)。
Need to prove, for some pixel, be the pixel of (1,1) such as coordinate, can not have the zone of selecting in the manner described above, so for this class pixel, then can not process according to scheme of the present invention.So, be the pixel Y of (x, y) for each coordinate, before execution in step 11, in theory, need at first to determine that whether having simultaneously coordinate in the image M is (x-1, y-2), (x-1, y-1), (x-1, y), (x-1, y+1), (x-1, y+2), (x, y-2), (x, y-1), (x, y+1), (x, y+2), (x+1, y-2), (x+1, y-1), (x+1, y), the pixel of (x+1, y+1) and (x+1, y+2), if exist, then execution in step 11, otherwise, pixel Y is not carried out any processing; In actual applications, can in software, in advance explanation need to process which pixel, then only process these pixels and get final product.
Step 12: determine the brightness value of pixel Y according to described relative coefficient, diff_Y_YFL, diff_Y_YF and diff_Y_YFR, and with the brightness value assignment determined to pixel Y.
The specific implementation of this step comprises:
1) determines whether diff_Y_YFL, diff_Y_YF and diff_Y_YFR whether all greater than predefined the 3rd threshold value NR3D_MEDIAN_DIFF_H, namely satisfy diff_Y_YF＞NR3D_MEDIAN_DIFF_H and diff_Y_YFL＞NR3D_MEDIAN_DIFF_H and diff_Y_YFR＞NR3D_MEDIAN_DIFF_H; If not, the former brightness value of then keeping pixel Y is constant, and if so, then execution in step 2).
Whether the value of 2) determining relative coefficient UPsimilar is 1, if be 1, then with after the brightness value of the brightness value of pixel Y, pixel YF and 1 summation divided by the 2 as a result assignment that obtain to pixel Y (adding 1 is in order to make final television image brighter, to promote user's impression); Otherwise, coordinate is (x among the computed image M respectively, y-1) pixel Y_L and coordinate are (x, the absolute value diff_YL_YR of the difference of the brightness value of pixel Y_R y+1), and coordinate is (x-1 in the image M, y) pixel Y_UP and coordinate are the absolute value diff_YUP_YDN of difference of brightness value of the pixel Y_DN of (x+1, y).
Above-mentioned diff_YUP_YDN=abs (Y_UP-Y_DN);
diff_YL_YR＝abs(Y_L-Y_R)。
3) determine that whether diff_YL_YR is less than diff_YUP_YDN, if, then with (adding 1 is in order to make final television image brighter divided by 2 after the brightness value of the brightness value of the pixel Y_L in the image M, pixel Y_R and 1 summation, lifting user impression) the as a result assignment that obtains is to pixel Y, otherwise, with after the brightness value of the brightness value of the pixel Y_UP in the image M, pixel Y_DN and 1 summation divided by the 2 as a result assignment that obtain to pixel Y.
The concrete value of each threshold value that relates in embodiment illustrated in fig. 1 can be decided according to the actual requirements.Usually, if the value of each threshold value is too large, can make denoising effect relatively poor, namely part stain or bright spot can not be removed, if value is too little, can causes that again normal pixel is used as noise processed and fall, thereby make television image fuzzy.In the present embodiment, the span of first threshold can be [20,60], and the span of Second Threshold can be [60,80], and the span of the 3rd threshold value can be [60,100].In addition, above-mentionedly only comprise 9 pixels in each zone and describe as example, in actual applications, can set as required the pixel number that comprises in each zone, and adjust the concrete value of each threshold value along with the difference of pixel number.Have again, embodiment illustrated in fig. 1 in, if any result of calculation is not integer, can round up.
Based on said method, Fig. 5 is the composition structural representation that the present invention removes the device embodiment of noise.As shown in Figure 5, comprising:
Receiver module 51 is used for receiving each two field picture of input, and sends to processing module 52;
Processing module 52, be used for from the 2nd two field picture that receives, be (x for each coordinate among every two field picture M, y) pixel Y, coordinate is (x among the former frame image N of definite pixel Y and image M respectively, y) relative coefficient of pixel YF, and from image N, select three zones that comprise pixel YF, the absolute value diff_Y_YFL of the difference of the brightness value sum of each pixel in the brightness value sum of calculating respectively each pixel in each zone and one that from image M, the selects zone that comprises pixel Y, diff_Y_YF and diff_Y_YFR, the pixel number that comprises in each zone is all identical; Determine the brightness value of pixel Y according to relative coefficient, diff_Y_YFL, diff_Y_YF and diff_Y_YFR, and with the brightness value assignment determined to pixel Y.
Wherein, the pixel number in each zone is generally 9.
In addition, can specifically comprise in the processing module 52:
The first processing unit 521, be used for determining the relative coefficient of pixel Y and pixel YF, and from image N, select three zones that comprise pixel YF, absolute value diff_Y_YFL, diff_Y_YF and the diff_Y_YFR of the difference of the brightness value sum of each pixel in the brightness value sum of calculating respectively each pixel in each zone and one that selects from the image M zone that comprises pixel Y send to the second processing unit 522 with described relative coefficient, diff_Y_YFL, diff_Y_YF and diff_Y_YFR;
The second processing unit 522 is used for determining according to the relative coefficient, diff_Y_YFL, diff_Y_YF and the diff_Y_YFR that receive the brightness value of pixel Y, and with the brightness value assignment determined to pixel Y.
Can further comprise again (for simplifying accompanying drawing, not shown) in the first processing unit 521:
The first computation subunit, being used for respectively, computed image N coordinate is (x-1, y-1) coordinate is (x-1 in pixel and the image M, y-1) coordinate is (x-1 among pixel, the image N, y) coordinate is (x-1 in pixel and the image M, y) pixel, and coordinate is (x-1 among the image N, y+1) coordinate is (x-1 in pixel and the image M, the absolute value of the difference of the brightness value of pixel y+1), and determine that whether three absolute value sums are less than predefined first threshold; If not, determine that then relative coefficient is 0, if so, then with after the brightness value of the brightness value of pixel Y, pixel YF and 1 summation divided by 2, obtain discussing Avg, the absolute value of the difference of the brightness value of calculating Avg and pixel YF, whether determine this absolute value less than predefined Second Threshold, if so, determine that then relative coefficient is 1, otherwise, determine that relative coefficient is 0; Relative coefficient is sent to the second processing unit 522;
The second computation subunit, be used for selecting Three regions from image N, being respectively by coordinate is (x-1, y-2), (x-1, y-1), (x-1, y), (x, y-2), (x, y-1), (x, y), (x+1, y-2), (x+1, y-1) and (x+1, y) zone that pixel forms, be (x-1 by coordinate, y-1), (x-1, y), (x-1, y+1), (x, y-1), (x, y), (x, y+1), (x+1, y-1), (x+1, y) and (x+1, y+1) zone that pixel forms, and be (x-1, y) by coordinate, (x-1, y+1), (x-1, y+2), (x, y), (x, y+1), (x, y+2), (x+1, y), the zone that the pixel of (x+1, y+1) and (x+1, y+2) forms, calculate the brightness value sum sumYF_L of each pixel in each zone, sumYF and sumYF_R, selecting one from image M is (x-1, y-1) by coordinate, (x-1, y), (x-1, y+1), (x, y-1), (x, y), (x, y+1), (x+1, y-1), (x+1, y) and the zone that forms of the pixel of (x+1, y+1), calculate the brightness sum sumY of each pixel in this zone, and calculate respectively sumYF_L, the absolute value diff_Y_YFL of the difference of sumYF and sumYF_R and sumY, diff_Y_YF and diff_Y_YFR are with diff_Y_YFL, diff_Y_YF and diff_Y_YFR send to the second processing unit 522.
Can further comprise (for simplifying accompanying drawing, not shown) in the second processing unit 522:
First determines subelement, is used for determining that whether diff_Y_YFL, diff_Y_YF and diff_Y_YFR are all greater than predefined the 3rd threshold value; If not, the former brightness value of then keeping pixel Y is constant, if so, then notifies second to determine subelement execution self function;
Second determines subelement, is used for determining whether the value of relative coefficient is 1, if be 1, then with after the brightness value of the brightness value of pixel Y, pixel YF and 1 summation divided by the 2 as a result assignment that obtain to pixel Y; Otherwise, coordinate is (x among the computed image M respectively, y-1) and (x, the absolute value diff_YL_YR of the difference of the brightness value of pixel y+1) and coordinate are (x-1, y) and (x+1, the absolute value diff_YUP_YDN of the difference of the brightness value of pixel y), and whether definite diff_YL_YR is less than diff_YUP_YDN; If, be (x with coordinate in the image M then, the brightness value of pixel y-1), coordinate are (x, the brightness value of pixel y+1) and 1 the summation after divided by the 2 as a result assignment that obtain to pixel Y, otherwise, with coordinate in the image M be the pixel of (x-1, y) brightness value, coordinate for after the brightness value of the pixel of (x+1, y) and 1 summation divided by the 2 as a result assignment that obtain to pixel Y.
The specific works flow process of device embodiment shown in Figure 5 please refer to the respective description in the embodiment of the method shown in Figure 1, repeats no more herein.
In a word, adopt technical scheme of the present invention, former frame image in conjunction with current frame image, adopt three-dimensional median filtering method to detect each pixel, and as required it is carried out again assignment, thus effectively removed noise, and then eliminated emergent bright spot and stain on the television image, especially not very large or by the scene of other denoising method after having handled, better effects if for noise; In addition, scheme of the present invention is when carrying out again assignment to pixel, do not have too much to depend on the former frame image (namely when pixel Y is carried out again assignment, the shared weight of the brightness value of pixel YF and the brightness value of pixel Y is the same, do not have the too much brightness value that depends on pixel YF, the weight that is about to the brightness value of pixel YF arranges too highly), motion blur phenomenon can not appear therefore; Have, scheme of the present invention only can realize by some simple calculating, realizes that cost is lower, is convenient to popularize again.
The above only is preferred embodiment of the present invention, and is in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of making, is equal to replacement, improvement etc., all should be included within the scope of protection of the invention.
Claims (5)
1. a method of removing noise is applied to it is characterized in that in the simulated television technology, receiving successively each two field picture of input, from the 2nd two field picture that receives, is (x for each coordinate among every two field picture M, y) pixel Y, carry out respectively following processing:
A1, determine that coordinate is the relative coefficient of the pixel YF of (x, y) among the former frame image N of described pixel Y and described image M;
B1, from described image N, select three zones that comprise described pixel YF, absolute value diff_Y_YFL, diff_Y_YF and the diff_Y_YFR of the difference of the brightness value sum of each pixel in the brightness value sum of calculating respectively each pixel in each zone and one that from described image M, the selects zone that comprises described pixel Y, the pixel number that comprises in each zone is all identical;
C1, determine the brightness value of described pixel Y according to described relative coefficient, diff_Y_YFL, diff_Y_YF and diff_Y_YFR, and with the brightness value assignment determined to described pixel Y;
Wherein, described steps A 1 comprises:
Calculate respectively that coordinate is (P among the described image N, y-1) coordinate is (P in pixel and the described image M, y-1) coordinate is (P among pixel, the described image N, y) coordinate is (P in pixel and the described image M, y) pixel, and coordinate is (P among the described image N, y+1) coordinate is (P in pixel and the described image M, the absolute value of the difference of the brightness value of pixel y+1), and determine that whether three absolute value sums are less than predefined first threshold;
If not, determine that then described relative coefficient is 0, if so, divided by 2, obtain discussing Avg after then the brightness value and 1 of the brightness value of described pixel Y, described pixel YF being sued for peace, calculate the absolute value of difference of the brightness value of described Avg and described pixel YF, whether determine this absolute value less than predefined Second Threshold, if so, determine that then described relative coefficient is 1, otherwise, determine that described relative coefficient is 0;
The value of described P is x-1, x or x+1;
Described step C1 comprises:
Determine that whether described diff_Y_YFL, diff_Y_YF and diff_Y_YFR are all greater than predefined the 3rd threshold value;
If not, the former brightness value of then keeping described pixel Y is constant, if, whether the value of then determining described relative coefficient is 1, if be 1, then give described pixel Y divided by the 2 as a result assignment that obtain afterwards with brightness value and 1 summation of the brightness value of described pixel Y, described pixel YF; Otherwise, calculate respectively that coordinate is (x in the described image M, y-1) and (x, the absolute value diff_YL_YR of the difference of the brightness value of pixel y+1) and coordinate are (x-1, y) and (x+1, the absolute value diff_YUP_YDN of the difference of the brightness value of pixel y), and determine that whether described diff_YL_YR is less than described diff_YUP_YDN;
If, be (x with coordinate in the described image M then, the brightness value of pixel y-1), coordinate are (x, give described pixel Y divided by the 2 as a result assignment that obtain after the brightness value of pixel y+1) and 1 summation, otherwise, with coordinate in the described image M be the pixel of (x-1, y) brightness value, coordinate for after the brightness value of the pixel of (x+1, y) and 1 summation divided by the 2 as a result assignment that obtain to described pixel Y.
2. method according to claim 1 is characterized in that, before the described steps A 1, further comprises:
Determine that whether having simultaneously coordinate in the described image M is (x-1, y-2), (x-1, y-1), (x-1, y), (x-1, y+1), (x-1, y+2), (x, y-2), (x, y-1), (x, y+1), (x, y+2), (x+1, y-2), (x+1, y-1), (x+1, y), (x+1, y+1) and (x+1, y+2) pixel, if so, execution in step A1 then, otherwise, described pixel Y is not carried out any processing.
3. method according to claim 1 and 2 is characterized in that, describedly selects three zones that comprise described pixel YF comprise from image N:
Be (x-1, y-2) with coordinate among the described image N, (x-1, y-1), (x-1, y), (x, y-2), (x, y-1), (x, y), (x+1, y-2), (x+1, y-1) and the zone that forms of the pixel of (x+1, y), coordinate is (x-1, y-1), (x-1, y), (x-1, y+1), (x, y-1), (x, y), (x, y+1), (x+1, y-1), the zone that the pixel of (x+1, y) and (x+1, y+1) forms, and coordinate is (x-1, y), (x-1, y+1), (x-1, y+2), (x, y), (x, y+1), (x, y+2), (x+1, y), (x+1, y+1) and the zone that forms of the pixel of (x+1, y+2) as the Three regions of selecting;
Describedly from image M, select a zone that comprises described pixel Y and comprise: be (x-1 with coordinate in the described image M, y-1), (x-1, y), (x-1, y+1), (x, y-1), (x, y), (x, y+1), (x+1, y-1), the zone of the pixel of (x+1, y) and (x+1, y+1) composition is as the zone of selecting.
4. a device of removing noise is applied to it is characterized in that in the simulated television technology, comprising:
Receiver module is used for receiving each two field picture of input, and sends to processing module;
Described processing module, be used for from the 2nd two field picture that receives, be (x for each coordinate among every two field picture M, y) pixel Y, coordinate is (x among the former frame image N of definite described pixel Y and described image M respectively, y) relative coefficient of pixel YF, and from described image N, select three zones that comprise described pixel YF, the absolute value diff_Y_YFL of the difference of the brightness value sum of each pixel in the brightness value sum of calculating respectively each pixel in each zone and one that from described image M, the selects zone that comprises described pixel Y, diff_Y_YF and diff_Y_YFR, the pixel number that comprises in each zone is all identical; Determine the brightness value of described pixel Y according to described relative coefficient, diff_Y_YFL, diff_Y_YF and diff_Y_YFR, and give described pixel Y with the brightness value assignment determined;
Wherein, described processing module comprises:
The first processing unit, be used for determining the relative coefficient of described pixel Y and described pixel YF, and from described image N, select three zones that comprise described pixel YF, absolute value diff_Y_YFL, diff_Y_YF and the diff_Y_YFR of the difference of the brightness value sum of each pixel in the brightness value sum of calculating respectively each pixel in each zone and one that selects from the described image M zone that comprises described pixel Y send to the second processing unit with described relative coefficient, diff_Y_YFL, diff_Y_YF and diff_Y_YFR;
Described the second processing unit is used for determining according to the relative coefficient, diff_Y_YFL, diff_Y_YF and the diff_Y_YFR that receive the brightness value of described pixel Y, and with the brightness value assignment determined to described pixel Y;
Described the first processing unit comprises:
The first computation subunit, being used for calculating described image N coordinate respectively is (P, y-1) coordinate is (P in pixel and the described image M, y-1) coordinate is (P among pixel, the described image N, y) coordinate is (P in pixel and the described image M, y) pixel, and coordinate is (P among the described image N, y+1) coordinate is (P in pixel and the described image M, the absolute value of the difference of the brightness value of pixel y+1), and determine that whether three absolute value sums are less than predefined first threshold; If not, determine that then described relative coefficient is 0, if so, divided by 2, obtain discussing Avg after then the brightness value and 1 of the brightness value of described pixel Y, described pixel YF being sued for peace, calculate the absolute value of difference of the brightness value of described Avg and described pixel YF, and whether determine this absolute value less than predefined Second Threshold, if so, determine that then described relative coefficient is 1, otherwise, determine that described relative coefficient is 0; Described relative coefficient is sent to the second processing unit;
The value of described P is x-1, x or x+1;
Described the second processing unit comprises:
First determines subelement, is used for determining that whether described diff_Y_YFL, diff_Y_YF and diff_Y_YFR are all greater than predefined the 3rd threshold value; If not, the former brightness value of then keeping described pixel Y is constant, if so, then notifies second to determine subelement execution self function;
Described second determines subelement, is used for determining whether the value of described relative coefficient is 1, if be 1, then gives described pixel Y divided by the 2 as a result assignment that obtain afterwards with brightness value and 1 summation of the brightness value of described pixel Y, described pixel YF; Otherwise, calculate respectively that coordinate is (x in the described image M, y-1) and (x, the absolute value diff_YL_YR of the difference of the brightness value of pixel y+1) and coordinate are (x-1, y) and (x+1, the absolute value diff_YUP_YDN of the difference of the brightness value of pixel y), and determine that whether described diff_YL_YR is less than described diff_YUP_YDN; If, be (x with coordinate in the described image M then, the brightness value of pixel y-1), coordinate are (x, give described pixel Y divided by the 2 as a result assignment that obtain after the brightness value of pixel y+1) and 1 summation, otherwise, with coordinate in the described image M be the pixel of (x-1, y) brightness value, coordinate for after the brightness value of the pixel of (x+1, y) and 1 summation divided by the 2 as a result assignment that obtain to described pixel Y.
5. device according to claim 4 is characterized in that, described the first processing unit further comprises:
The second computation subunit, be used for selecting Three regions from described image N, being respectively by coordinate is (x-1, y-2), (x-1, y-1), (x-1, y), (x, y-2), (x, y-1), (x, y), (x+1, y-2), (x+1, y-1) and (x+1, y) zone that pixel forms, be (x-1 by coordinate, y-1), (x-1, y), (x-1, y+1), (x, y-1), (x, y), (x, y+1), (x+1, y-1), (x+1, y) and (x+1, y+1) zone that pixel forms, and be (x-1, y) by coordinate, (x-1, y+1), (x-1, y+2), (x, y), (x, y+1), (x, y+2), (x+1, y), the zone that the pixel of (x+1, y+1) and (x+1, y+2) forms, calculate the brightness value sum sumYF_L of each pixel in each zone, sumYF and sumYF_R, selecting one from described image M is (x-1, y-1) by coordinate, (x-1, y), (x-1, y+1), (x, y-1), (x, y), (x, y+1), (x+1, y-1), (x+1, y) and the zone that forms of the pixel of (x+1, y+1), calculate the brightness sum sumY of each pixel in this zone, and calculate respectively sumYF_L, the absolute value diff_Y_YFL of the difference of sumYF and sumYF_R and sumY, diff_Y_YF and diff_Y_YFR are with described diff_Y_YFL, diff_Y_YF and diff_Y_YFR send to described the second processing unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010221734 CN102316248B (en) | 2010-06-29 | 2010-06-29 | Noise removing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010221734 CN102316248B (en) | 2010-06-29 | 2010-06-29 | Noise removing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102316248A CN102316248A (en) | 2012-01-11 |
| CN102316248B true CN102316248B (en) | 2013-04-17 |
Family
ID=45429039
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201010221734 Active CN102316248B (en) | 2010-06-29 | 2010-06-29 | Noise removing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102316248B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108174057B (en) * | 2018-01-10 | 2020-06-23 | 武汉烛照科技有限公司 | Method and device for rapidly reducing noise of picture by utilizing video image inter-frame difference |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101326808A (en) * | 2005-12-07 | 2008-12-17 | 美光科技公司 | Method and apparatus providing noise reduction while preserving edges for imagers |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006060744A (en) * | 2004-08-24 | 2006-03-02 | Matsushita Electric Ind Co Ltd | Noise reduction apparatus |
-
2010
- 2010-06-29 CN CN 201010221734 patent/CN102316248B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101326808A (en) * | 2005-12-07 | 2008-12-17 | 美光科技公司 | Method and apparatus providing noise reduction while preserving edges for imagers |
Non-Patent Citations (1)
| Title |
|---|
| JP特开2006-60744A 2006.03.02 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102316248A (en) | 2012-01-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7936950B2 (en) | Apparatus for creating interpolation frame | |
| KR100718081B1 (en) | Apparatus for removing flat region with false contour and method thereof | |
| US20130242145A1 (en) | Video acquisition with integrated gpu processing | |
| US20150279006A1 (en) | Method and apparatus for reducing noise of image | |
| CN103945145A (en) | Apparatus and method for processing image | |
| CN108174057B (en) | Method and device for rapidly reducing noise of picture by utilizing video image inter-frame difference | |
| CN108009997B (en) | Method and device for adjusting image contrast | |
| US20110007973A1 (en) | Apparatus for removing image noise and method thereof | |
| CN107979712B (en) | Video noise reduction method and device | |
| US8150204B2 (en) | Noise reducer for video signals | |
| US20130051664A1 (en) | Image processing device | |
| US9031350B2 (en) | Method for processing edges in an image and image processing apparatus | |
| CN112400185A (en) | Method, device and system for multi-stage bilateral noise filtering | |
| US9836818B2 (en) | Method and device for color interpolation | |
| CN111986116A (en) | Video noise reduction method and device, electronic equipment and computer readable storage medium | |
| CN111539895A (en) | Video denoising method and device, mobile terminal and storage medium | |
| US8189874B2 (en) | Method for motion detection of horizontal line | |
| CN112073718B (en) | Television screen splash detection method and device, computer equipment and storage medium | |
| CN102316248B (en) | Noise removing method and device | |
| US8031945B2 (en) | Image-processing device, image-processing method, program of image-processing method, and recording medium recording program of image-processing method | |
| CN101141655A (en) | Video signal picture element point chromatic value regulation means | |
| KR101024731B1 (en) | Method and system for reducing mosquito noise in a digital image | |
| US8995765B2 (en) | Digital image processing apparatus and method | |
| WO2018155269A1 (en) | Image processing device and method, and program | |
| US8077926B2 (en) | Method of motion detection using adaptive threshold |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20150930 Address after: 100080, Beijing, Zhongguancun Haidian District Street 11, 100 million world wealth center, block A, 12 Patentee after: BEIJING BOXIN SHITONG TECHNOLOGY CO., LTD. Address before: 100084, No. 803, building A, Tsinghua Science and Technology Park, No. 8, Zhongguancun East Road, building 1, Haidian District, Beijing Patentee before: Beijing Chuangyi Vision Technology Co., Ltd. |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20210331 Address after: 215000 5th floor, building 4, 68 Lianfeng Road, Changfu street, Changshu City, Suzhou City, Jiangsu Province Patentee after: Changshu intellectual property operation center Co.,Ltd. Address before: 100080 Beijing Haidian District Zhongguancun Street 11 billion World Wealth Center A 12-storey Patentee before: BEIJING BOXIN SHITONG TECHNOLOGY Co.,Ltd. |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20211022 Address after: 215500 No. 8, Yuenan Road, Heshi Town, Changshu City, Suzhou City, Jiangsu Province Patentee after: Changshu Quanxing Nutritional Additive Co.,Ltd. Address before: 215000 5th floor, building 4, 68 Lianfeng Road, Changfu street, Changshu City, Suzhou City, Jiangsu Province Patentee before: Changshu intellectual property operation center Co.,Ltd. |