CN105450908A - Method and device for removing black edge from video image - Google Patents
Method and device for removing black edge from video image Download PDFInfo
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- CN105450908A CN105450908A CN201510869902.3A CN201510869902A CN105450908A CN 105450908 A CN105450908 A CN 105450908A CN 201510869902 A CN201510869902 A CN 201510869902A CN 105450908 A CN105450908 A CN 105450908A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré or halo
Abstract
The invention discloses a method and a device for removing a black edge from a video image. The method comprises the following steps: detecting a black image edge in an internal memory by adopting a method with double preset thresholds and used for judging continuous variation, then, obtaining the starting position of an effective data image signal, and finally, removing the black edge. The device comprises a data obtaining module, a black edge detecting and counting module, a black edge removing module, a setting and receiving module and an output module. By adopting the method and the device disclosed by the invention, the detection accuracy is improved, and the detection error rate of a video signal under interference is reduced.
Description
Technical field
The present invention relates to field of video image processing, particularly relate to the method and apparatus that a kind of video image eliminates black surround.
Background technology
At present in field of video processing, when obtaining camera video data, in internal memory, obtaining original image have black surround generation, appear at image diverse location up and down, affect the display effect of video, also can have an impact to the process of image simultaneously, therefore must remove the black surround of image.
It is as follows that the technical method of existing detection video image black surround generally detects black surround method by the mode of single threshold: compare video image edge often row or the pixel value that often arranges, when pixel value exceedes certain threshold value, then think non-black pixel; The non-black pixel that statistics is often gone or often arranged, just think that when non-black pixel is less than a certain threshold value this row or this row are black surrounds, otherwise just think for non-black surround, the method accuracy eliminating black surround based on single threshold is not high, higher in the detection error rate of vision signal when disturbed.
Summary of the invention
The present invention proposes a kind of dual threshold and judges and the method and apparatus of removal of images black surround in conjunction with consecutive variations, improves the accuracy of detection, reduces the detection error rate of vision signal when disturbed.
Concrete scheme is as follows:
Video image eliminates a method for black surround, comprises the following steps:
S1: the row data or the column data that obtain image;
S2: the black surround of detected image also adds up black surround picturedeep or columns;
S3: according to the effective original position of black surround image setting, removal of images black surround;
S4: setting intercepts effective image height or width, receives effective image;
S5: export effective image.
Wherein, in described step S2, the black surround of detected image the concrete steps of adding up black surround picturedeep or columns are:
S21: each row of traversing graph picture or respectively arrange, calculates the decoding value summation S of each row or each row pixel respectively;
S22: set the first decoding threshold value T1, the second decoding threshold value T2 and amplitude of variation threshold value C1;
S23: the decoding value summation S of more each row or each pixel of each row and the first decoding threshold value T1 size, as S≤T1, then think this row maybe this row image be black surround; As S > T1, enter step S24;
S24: the decoding value summation S of more each row or each pixel of each row and the second decoding threshold value T2 size, as S > T2, then thinking that maybe this is classified as effective image to this row, is not black surround, as T1 < S≤T2, enter step S25;
S25: calculate the variance values C between this row two pixels that maybe these row are often adjacent, amplitude of variation C relatively between this row two pixels that maybe these row are often adjacent and amplitude of variation threshold value C1 size, as C < C1, then think this row maybe these row are effective images, be not black surround; As C >=C1, then think this row maybe this row image be black surround image;
S26: each row of traversing graph picture, adds up the line number W of upper and lower both sides image black surround
ri, image black surround head office number W
rS; Or travel through each row image, the columns W of statistics arranged on left and right sides image black surround
ci, the total columns W of image black surround
cS.
Wherein, the decoding value described in described step S21 is rgb value or gray value.
Wherein, the first decoding threshold value T1 described in described step S22 is less than the second decoding threshold value T2.
Wherein, the variance values C in described step S22 is the difference of gray value or the difference of rgb value.
Wherein, according to the effective original position of black surround image setting in described step S3, the concrete steps of removal of images black surround are:
S31: each row of traversing graph picture, with image any one jiao for initial point, set effective original position, effective original position and origin offset are W
ri, eliminate upside or downside image black surround; Or traversing graph picture respectively arranges, with image any one jiao for initial point, set effective original position, effective original position and origin offset are W
ci, eliminate left side or image right black surround.
Wherein, in described step S4, setting intercepts effective image height or width, and the concrete steps receiving effective image are:
S41: during each row of traversing graph picture, setting intercepts picture altitude: H
s=H-W
rS, H is the height value for source images, W
rSfor the total line number of black surround image;
Or traversing graph picture is when respectively arranging, the width of setting cut-away view picture: W
s=W-W
cS, W is the width value of source images, W
cSfor the total columns of black surround image;
S42: according to intercepting picture altitude or the width of setting, obtain the effective image after intercepting.
Video image eliminates a device for black surround, comprising:
Data acquisition module, for obtaining row data or the column data of image;
Black surround detection statistics module, for detected image black surround and add up black surround picturedeep or columns;
Black surround cancellation module, for according to the effective original position of black surround image setting, removal of images black surround;
Setting receiver module, intercepting effective image height or width for setting, receiving effective image;
Output module, for exporting effective image.
Wherein, described black surround detection statistics module also comprises:
Computing module, for each row of traversing graph picture or respectively arrange, calculates the decoding value summation S of each row or each row pixel respectively;
Setting module, for setting the first decoding threshold value T1, the second decoding threshold value T2 and amplitude of variation threshold value C1;
First comparison module, for decoding value summation S and the first decoding threshold value T1 size of more each row or each pixel of each row, as S≤T1, then think this row maybe this row image be black surround; As S > T1, enter the second comparison module;
Second comparison module, for more each row or each decoding value summation S and the second decoding threshold value T2 size arranging each pixel, as S > T2, then think that maybe this is classified as effective image to this row, it not black surround, as T1 < S≤T2, enter amplitude of variation calculating and comparing module;
Amplitude of variation calculating and comparing module, for calculating the variance values C between this row two pixels that maybe these row are often adjacent, amplitude of variation C relatively between this row two pixels that maybe these row are often adjacent and amplitude of variation threshold value C1 size, as C < C1, then think this row maybe these row are effective images, be not black surround; As C >=C1, then think this row maybe this row image be black surround image;
Statistical module, for each row of traversing graph picture, adds up the line number W of upper and lower both sides image black surround
ri, image black surround head office number W
rS; Or traversing graph picture respectively arranges, the columns W of statistics arranged on left and right sides image black surround
ci, the total columns W of image black surround
cS.
Wherein, the decoding value described in described computing module is rgb value or gray value.
Wherein, the first decoding threshold value T1 described in described setting module is less than the second decoding threshold value T2.
Wherein, the variance values C in described amplitude of variation calculating and comparing module is the difference of gray value or the difference of rgb value.
Wherein, described black surround cancellation module comprises output offset setting module:
For each row of traversing graph picture, with image any one jiao for initial point, set effective original position, effective original position and origin offset are W
ri, eliminate upside or downside image black surround; Or traversing graph picture respectively arranges, with image any one jiao for initial point, set effective original position, effective original position and origin offset are W
ci, eliminate left side or image right black surround.
Wherein, described setting receiver module comprises:
Intercept image module, for during with Ge Hangxiang center sequence detection black surround image, setting intercepts picture altitude: H
s=H-W
rS, H is the height value for source images, W
rSfor the total line number of black surround image; When with Ge Liexiang center sequence detection black surround image, the width of setting cut-away view picture: W
s=W-W
cS, W is the width value of source images, W
cSfor the total columns of black surround image;
Effective image acquisition module, for according to the intercepting picture altitude set or width, obtains the effective image after intercepting.
Accompanying drawing explanation
Fig. 1 is a TSC-system formula black surround image schematic diagram;
Fig. 2 is the flow chart that an embodiment judges black surround image;
Fig. 3 is the schematic diagram that an embodiment eliminates black surround.
Embodiment
For further illustrating each embodiment, the invention provides drawings attached.These accompanying drawings are a part for disclosure of the present invention, and it is mainly in order to illustrate embodiment, and the associated description of specification can be coordinated to explain the operation principles of embodiment.Coordinate with reference to these contents, those of ordinary skill in the art will be understood that other possible execution modes and advantage of the present invention.Now the present invention is further described with embodiment by reference to the accompanying drawings.
This embodiment is a video decoding chip (being referred to as A/D chip below) depending on video images detection black surround of the present invention and elimination black surround method, in this embodiment, video image is for TSC-system formula, Fig. 1 is a black surround image schematic diagram, left and right black surround is only described in figure, actual conditions can because of different A/D chip difference to some extent, such as occur black surround up and down, or black surround size distribution is different
Specify in ITU-RBT.601 that its every frame horizontal scanning line is 525 row, effective line number is 480 row, and it is 720 points that the efficiently sampling of often going is counted, and the pixel of each point is than being 10:11.Display device for SD is all generally 4:3 form, and the image shown with such form is exactly normal proportionate relationship, and can not be out of shape (broaden or narrow).
In order to show than showing a two field picture with the 4:3 of standard, the NTSC for 480 row:
Pixel is than when being 1:1, and level is just necessary for 640; (640/480) * (1/1)=4:3
Pixel is than when being 10:11, and level is just necessary for 704; (704/480) * (10/11)=4:3
And the pixel specified in ITU-RBT.601 is than being 10:11, so the level point finally obtained is 704; And it specifies that often row available point is 720,720-704=16 therefore remaining horizontal pixel point is just able to black fill.
Those skilled in the art it will be appreciated that, black surround image shown in above-mentioned Fig. 1 is only illustrate with a kind of video image of TSC-system formula, the example of the class black surround image shown, is all shown as example with 4:3 form with this TSC-system formula image in this embodiment on SD equipment.
In this embodiment, the operation principle of A/D chip is as follows: receive the analog signal (CVBS) that camera transmits, A/D chip is converted into BT656 data through over-sampling with after quantizing, then black surround is carried out to view data and judge operation, effective original position is set by the size of black surround, intercept effective image, final output image.
Fig. 2 shows the flow process that this embodiment judges black surround image.
This embodiment judges that the flow process of black surround image comprises the following steps:
S1: set the first gray threshold T1, the second gray threshold T2 and amplitude of variation threshold value C1;
S2: compare the gray value summation S of each pixel of these row and the first gray threshold T1 size and obtain comparative result, when result is S≤T1, then thinking that this row image is black surround; When result is S > T1, enter step S3;
S3: the gray value summation S of each pixel of relatively each row and the second gray threshold T2 size obtain comparative result, when result is S > T2, then thinking that this is classified as effective image, is not black surround, when result is T1 < S≤T2, enter step S4;
S4 calculates the amplitude of variation C between two often adjacent pixels of these row, compares the amplitude of variation C between two often adjacent pixels of these row and amplitude of variation threshold value C1 size, and as C < C1, then thinking that these row are effective images, is not black surround; As C >=C1, then think that this row image is black surround image.
It will be recognized by those skilled in the art that above-mentioned judgement black surround method is the mode by obtaining column data, can also be undertaken by the mode obtaining row data, the amplitude of variation in this embodiment is the difference of gray value.
It should be appreciated that pixel gray value in this embodiment also can be pixel rgb value.
Judge image black surround by said method, then counted the columns of left side black surround, and total columns of image black surround, then coordinate A/D chip, carry out black surround elimination dynamically.A/D chip receives the CVBS data that camera is sent, and is converted to BT656 signal and exports.Under normal circumstances, the BT656 packet sent contains all data that camera collection arrives.And after being changed by A/D chip, in order to adapt to display frame ratio, add black surround, and dissimilar A/D chip, camera all can cause size, the change in location of black surround.Total columns that therefore must detect black surround left side black surround row and black surround dynamically coordinates A/D chip to arrange again.。
Effective picture signal in the BT656 signal that A/D chip exports is that inner setting is good, with the image upper left corner for initial point, gives tacit consent to effective original position for (0,0), namely exports all effective picture signals, also comprise black surround.Here can by arranging effective original position of A/D chip, the useful signal position that AD is exported moves to right, such as from the effective original position (a of setting, 0), here a is exactly above-mentioned image left side columns of trying to achieve, the useful signal of output so just can be made just to cross the black surround on the left side, directly export from normal picture position.But the horizontal sampling point number overall due to BT656 signal or 720 points, namely level exports 720 points always, so the left side will be collected on the right by the black surround omitted, be exactly carry out image on the right to supplement, make overall length or 720 points, and the image supplemented is substantially all fill with black picture element.
Those skilled in the art it will be appreciated that, effective original position is set with the image upper left corner as initial point in above-mentioned removal black surround method, the black surround in left side is eliminated, final black surround all collects right side, same also can be with the image upper right corner for initial point sets effective original position, the black surround on right side is eliminated, and final black surround all collects left side.The black surround in corresponding row direction also can be similar process.
Fig. 3 shows the schematic diagram that this embodiment eliminates black surround.
In Fig. 3, because the initial useful signal skew of A/D chip, the black surround on the left side is all eliminated.But the normal effective width w of the reality due to image is 704, and general image width is 720 all not change, so black surround has just indirectly been moved on to the right.
Finally, the data that AD sends are directly in system, and system also has an interface receiving BT656 signal.This interface can arrange the size of cut-away view picture, and the overall width of image is 720, and effective image degree w is 704, and the width that therefore can arrange cut-away view picture is 704, and the image of so last output does not have black surround exactly, is all normal effective image.
After it will be recognized by those skilled in the art that data that AD sends are in system, also can be intercepted by software, when obtaining image exactly in internal memory, obtain in rows, and only get front 704 sizes of often row at every turn, finally form the image that a width does not have black surround.
Same, it will be recognized by those skilled in the art that for the black surround on line direction, also can process by similar carrying out.
Eliminate the method for black surround based on above-mentioned video image, the present invention also proposes
Video image eliminates a device for black surround, comprising:
Data acquisition module, for obtaining row data or the column data of image;
Black surround detection statistics module, for detected image black surround and add up black surround picturedeep or columns;
Black surround cancellation module, for according to the effective original position of black surround image setting, removal of images black surround;
Setting receiver module, intercepting effective image height or width for setting, receiving effective image;
Output module, for exporting effective image.
Wherein, described black surround detection statistics module also comprises:
Computing module, for each row of traversing graph picture or respectively arrange, calculates the decoding value summation S of each row or each row pixel respectively;
Setting module, for setting the first decoding threshold value T1, the second decoding threshold value T2 and amplitude of variation threshold value C1;
First comparison module, for decoding value summation S and the first decoding threshold value T1 size of more each row or each pixel of each row, as S≤T1, then think this row maybe this row image be black surround; As S > T1, enter the second comparison module;
Second comparison module, for more each row or each decoding value summation S and the second decoding threshold value T2 size arranging each pixel, as S > T2, then think that maybe this is classified as effective image to this row, it not black surround, as T1 < S≤T2, enter amplitude of variation calculating and comparing module;
Amplitude of variation calculating and comparing module, for calculating the variance values C between this row two pixels that maybe these row are often adjacent, amplitude of variation C relatively between this row two pixels that maybe these row are often adjacent and amplitude of variation threshold value C1 size, as C < C1, then think this row maybe these row are effective images, be not black surround; As C >=C1, then think this row maybe this row image be black surround image;
Statistical module, for each row of traversing graph picture, adds up the line number W of upper and lower both sides image black surround
ri, image black surround head office number W
rS; Or traversing graph picture respectively arranges, the columns W of statistics arranged on left and right sides image black surround
ci, the total columns W of image black surround
cS.
Wherein, the decoding value described in described computing module is rgb value or gray value.
Wherein, the first decoding threshold value T1 described in described setting module is less than the second decoding threshold value T2.
Wherein, the variance values C in described amplitude of variation calculating and comparing module is the difference of gray value or the difference of rgb value.
Wherein, described black surround cancellation module comprises output offset setting module:
For each row of traversing graph picture, with image any one jiao for initial point, set effective original position, effective original position and origin offset are W
ri, eliminate upside or downside image black surround; Or traversing graph picture respectively arranges, with image any one jiao for initial point, set effective original position, effective original position and origin offset are W
ci, eliminate left side or image right black surround.
Wherein, described setting receiver module comprises:
Intercept image module, for during with Ge Hangxiang center sequence detection black surround image, setting intercepts picture altitude: H
s=H-W
rS, H is the height value for source images, W
rSfor the total line number of black surround image; When with Ge Liexiang center sequence detection black surround image, the width of setting cut-away view picture: W
s=W-W
cS, W is the width value of source images, W
cSfor the total columns of black surround image;
Effective image acquisition module, for according to the intercepting picture altitude set or width, obtains the effective image after intercepting.
Although specifically show in conjunction with preferred embodiment and describe the present invention; but those skilled in the art should be understood that; not departing from the spirit and scope of the present invention that appended claims limits; can make a variety of changes the present invention in the form and details, be protection scope of the present invention.
Claims (14)
1. video image eliminates a method for black surround, comprises the following steps:
S1: the row data or the column data that obtain image;
S2: the black surround of detected image also adds up black surround picturedeep or columns;
S3: according to the effective original position of black surround image setting, removal of images black surround;
S4: setting intercepts effective image height or width, receives effective image;
S5: export effective image.
2. video image according to claim 1 eliminates the method for black surround, it is characterized in that: in described step S2, and the black surround of detected image the concrete steps of adding up black surround picturedeep or columns are:
S21: each row of traversing graph picture or respectively arrange, calculates the decoding value summation S of each row or each row pixel respectively;
S22: set the first decoding threshold value T1, the second decoding threshold value T2 and amplitude of variation threshold value C1;
S23: the decoding value summation S of more each row or each pixel of each row and the first decoding threshold value T1 size, as S≤T1, then think this row maybe this row image be black surround; As S > T1, enter step S24;
S24: the decoding value summation S of more each row or each pixel of each row and the second decoding threshold value T2 size, as S > T2, then thinking that maybe this is classified as effective image to this row, is not black surround, as T1 < S≤T2, enter step S25;
S25: calculate the variance values C between this row two pixels that maybe these row are often adjacent, amplitude of variation C relatively between this row two pixels that maybe these row are often adjacent and amplitude of variation threshold value C1 size, as C < C1, then think this row maybe these row are effective images, be not black surround; As C >=C1, then think this row maybe this row image be black surround image;
S26: each row of traversing graph picture, adds up the line number W of upper and lower both sides image black surround
ri, image black surround head office number W
rS; Or traversing graph picture respectively arranges, the columns W of statistics arranged on left and right sides image black surround
ci, the total columns W of image black surround
cS.
3. video image according to claim 2 eliminates the method for black surround, it is characterized in that: the decoding value described in described step S21 is rgb value or gray value.
4. video image according to claim 2 eliminates the method for black surround, it is characterized in that: the first decoding threshold value T1 described in described step S22 is less than the second decoding threshold value T2.
5. video image according to claim 2 eliminates the method for black surround, it is characterized in that: the variance values C in described step S22 is the difference of gray value or the difference of rgb value.
6. video image according to claim 1 eliminates the method for black surround, it is characterized in that: according to the effective original position of black surround image setting in described step S3, the concrete steps of removal of images black surround are:
S31: each row of traversing graph picture, with image any one jiao for initial point, set effective original position, effective original position and origin offset are W
ri, eliminate upside or downside image black surround; Or traversing graph picture respectively arranges, with image any one jiao for initial point, set effective original position, effective original position and origin offset are W
ci, eliminate left side or image right black surround.
7. video image according to claim 1 eliminates the method for black surround, it is characterized in that: in described step S4, setting intercepts effective image height or width, and the concrete steps accepting effective image are:
S41: during each row of traversing graph picture, setting intercepts picture altitude: H
s=H-W
rS, H is the height value for source images, W
rSfor the total line number of black surround image; Or traversing graph picture is when respectively arranging, the width of setting cut-away view picture: W
s=W-W
cS, W is the width value of source images, W
cSfor the total columns of black surround image;
S42: according to intercepting picture altitude or the width of setting, obtain the effective image after intercepting.
8. video image eliminates a device for black surround, comprising:
Data acquisition module, for obtaining row data or the column data of image;
Black surround detection statistics module, for detected image black surround and add up black surround picturedeep or columns;
Black surround cancellation module, for according to the effective original position of black surround image setting, removal of images black surround;
Setting receiver module, intercepting effective image height or width for setting, receiving effective image;
Output module, for exporting effective image.
9. video image according to claim 8 eliminates the device of black surround, it is characterized in that: described black surround detection statistics module also comprises:
Computing module, for each row of traversing graph picture or respectively arrange, calculates the decoding value summation S of each row or each row pixel respectively;
Setting module, for setting the first decoding threshold value T1, the second decoding threshold value T2 and amplitude of variation threshold value C1; First comparison module, for decoding value summation S and the first decoding threshold value T1 size of more each row or each pixel of each row, as S≤T1, then think this row maybe this row image be black surround; As S > T1, enter the second comparison module;
Second comparison module, for more each row or each decoding value summation S and the second decoding threshold value T2 size arranging each pixel, as S > T2, then think that maybe this is classified as effective image to this row, it not black surround, as T1 < S≤T2, enter amplitude of variation calculating and comparing module;
Amplitude of variation calculating and comparing module, for calculating the variance values C between this row two pixels that maybe these row are often adjacent, amplitude of variation C relatively between this row two pixels that maybe these row are often adjacent and amplitude of variation threshold value C1 size, as C < C1, then think this row maybe these row are effective images, be not black surround; As C >=C1, then think this row maybe this row image be black surround image;
Statistical module, for each row of traversing graph picture, adds up the line number W of upper and lower both sides image black surround
ri, image black surround head office number W
rS; Or traversing graph picture respectively arranges, the columns W of statistics arranged on left and right sides image black surround
ci, the total columns W of image black surround
cS.
10. video image according to claim 8 eliminates the device of black surround, it is characterized in that: the decoding value described in described computing module is rgb value or gray value.
11. video images according to claim 8 eliminate the device of black surround, it is characterized in that: the first decoding threshold value T1 described in described setting module is less than the second decoding threshold value T2.
12. video images according to claim 8 eliminate the device of black surround, it is characterized in that: the variance values C in described amplitude of variation calculating and comparing module is the difference of gray value or the difference of rgb value.
13. video images according to claim 8 eliminate the device of black surround, it is characterized in that: described black surround cancellation module comprises output offset setting module:
For each row of traversing graph picture, with image any one jiao for initial point, set effective original position, effective original position and origin offset are W
ri, eliminate upside or downside image black surround; Or traversing graph picture respectively arranges, with image any one jiao for initial point, set effective original position, effective original position and origin offset are W
ci, eliminate left side or image right black surround.
14. video images according to claim 1 eliminate the device of black surround, it is characterized in that: described setting receiver module comprises:
Intercept image module, during row each for traversing graph picture, setting intercepts picture altitude: H
s=H-W
rS, H is the height value for source images, W
rSfor the total line number of black surround image; Or traversing graph picture is when respectively arranging, the width of setting cut-away view picture: W
s=W-W
cS, W is the width value of source images, W
cSfor the total columns of black surround image;
Effective image acquisition module, for according to the intercepting picture altitude set or width, obtains the effective image after intercepting.
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| CN111652237A (en) * | 2019-03-04 | 2020-09-11 | 海信视像科技股份有限公司 | OSD image detection method and device in video image and terminal equipment |
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| CN107105184A (en) * | 2017-04-01 | 2017-08-29 | 深圳市蓝莓派科技有限公司 | A kind of same screen projective techniques of mobile terminal in portrait layout advertisement machine |
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| CN112995535A (en) * | 2021-02-05 | 2021-06-18 | 北京百度网讯科技有限公司 | Method, apparatus, device and storage medium for processing video |
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