CN101551899B - Image edge detection method and image interpolation method using same - Google Patents
Image edge detection method and image interpolation method using same Download PDFInfo
- Publication number
- CN101551899B CN101551899B CN2008100911108A CN200810091110A CN101551899B CN 101551899 B CN101551899 B CN 101551899B CN 2008100911108 A CN2008100911108 A CN 2008100911108A CN 200810091110 A CN200810091110 A CN 200810091110A CN 101551899 B CN101551899 B CN 101551899B
- Authority
- CN
- China
- Prior art keywords
- oblique
- fringe region
- pixel
- pixel column
- 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.)
- Expired - Fee Related
Links
Images
Landscapes
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The invention relates to an image edge detection method which comprises the following steps: three adjacent pixel arrays of a first pixel array, a second pixel array and a third pixel array in an image are read; a plurality of pixel values respectively in the first pixel array, the second pixel array and the third pixel array are read; at least one first incline edge region is produced between thefirst pixel array and the second pixel array; and at least one second incline edge region is produced between the second pixel array and the third pixel array, wherein difference values of the pixel values of the pixel arrays which correspond to the first incline edge region and the second incline edge region respectively exceed edge critical values. The first incline edge region and the second incline edge region are detected to confirm whether the same two have repeating parts or not or differs within preset pixel points. When the first incline edge region and the second incline edge regionhave the repeating part or differ within the preset pixel point, the region between the first incline edge region and the second incline edge region is judged to be the incline edge.
Description
Technical field
The invention relates to a kind of de-interlacing methods, and particularly relevant for the edge detection method in a kind of de-interlacing methods.
Background technology
A kind of mode that improves the resolution of television image can become the image transitions of interlock (interlaced) image of P-SCAN (progressive-scanned).In deinterleave (de-interlace) is handled, in order to let resolution increase, the jagged edge of removal of images hypotenuse, the oblique line that tends in image partly carries out oblique interior slotting processing.
In known technology, for example U.S. Pat 6,133, and 957 patents propose the method that a kind of adaptability diagonal line interpolation method improves image resolution ratio.In the method, get certain interval interior pixel value difference that calculates different angles.At last, come slope, and carry out interior inserting again with this slope as oblique line with the difference angle with smallest.
But above mode also can't be grasped the position that the image oblique line exists, or can't accurately calculate the slope (angle) of oblique line exactly.In the position or angle incorrect down, can't let the sawtooth in the image disappear, and resolution also can't promote effectively, insert effect in more very making and reduce, and on picture, produce assorted line or assorted point.
Therefore, work out a kind of can accurate and easy mode come in the detected image the oblique line edge with and the angle of inclination, be the task of top priority aspect the resolution that promotes display frame.
Summary of the invention
Because the problems referred to above, the present invention proposes a kind of method for detecting image edge, to strengthen image resolution ratio.
The present invention provides a kind of detection method of image border, and it may further comprise the steps.At first, three adjacent first, second and the 3rd pixel column in the reading images, and read each first, second and the 3rd pixel column in a plurality of pixel values.Then, between first and second pixel column, produce at least one first oblique fringe region, and between the two or three pixel column, produce at least one second oblique fringe region.Wherein, The difference that first and second oblique fringe region is respectively each pixel value between corresponding with it neighbouring pixel column same lines surpasses the edge critical value, and this first is meant neighbouring with this second oblique fringe region and has the fringe region of same label.Whether afterwards, detect first and second oblique fringe region has repeating part or differs within the intended pixel point.Between first and second oblique fringe region, there is repeating part or differs within the intended pixel point, judge that then the zone between first and second oblique fringe region is oblique edge.
According to an embodiment of the present invention, producing the first oblique fringe region can be further comprising the steps of.Respectively this pixel value of same lines in first and second pixel column is subtracted each other, with produce this first and this second pixel column between margin of image element.Then, relatively this first and this second pixel column between the absolute value of margin of image element whether surpass the edge critical value.When surpassing the edge critical value, with giving label between two pixels in first and second pixel column.Between first and second pixel column, a plurality of adjacent one another are and location definitions that have this label are the first oblique fringe region.The second oblique fringe region be produced as identical mode, but carry out with the data of the second and the 3rd pixel column.
In addition, the present invention also provides a kind of image interpolation method, and it may further comprise the steps.At first, three adjacent first, second and the 3rd pixel column in the reading images, and read each first, second and the 3rd pixel column in a plurality of pixel values.Then, between first and second pixel column, produce at least one first oblique fringe region, and between the two or three pixel column, produce at least one second oblique fringe region.Wherein, The difference that first and second oblique fringe region is respectively each pixel value between corresponding with it neighbouring pixel column same lines surpasses the edge critical value, and this first is meant neighbouring with this second oblique fringe region and has the fringe region of same label.Whether afterwards, detect first and second oblique fringe region has repeating part or differs within the intended pixel point.Between first and second oblique fringe region, there is repeating part or differs within the intended pixel point, judge that then the zone between first and second oblique fringe region is an oblique line, and be to insert the zone in oblique.Afterwards, online with the specified point in first and second oblique fringe region respectively determines the slope of this oblique line.In oblique, insert in the zone, carry out oblique interior inserting with slope and handle.In addition, in oblique, insert outside the zone, then carry out vertical interpolation and handle.
According to one embodiment of the invention, above-mentionedly insert the couplet collection that zone be a plurality of overlappings each other or approaching this first and this second oblique fringe region in oblique.In addition, above-mentioned specified point is each first point, last point or the intermediate point in first and second oblique fringe region.
In sum; According to method of the present invention, set through oblique fringe region, can detect the position of the oblique line at oblique edge more accurately; And in the method; The information of the implicit oblique line slope of oblique fringe region to provide as the usefulness of inserting processing in oblique, can make oblique interior inserting handle to carry out accurately with more accurate angle.Through technology of the present invention, the resolution of image can more be strengthened.
For let above and other objects of the present invention, feature and advantage can be more obviously understandable, hereinafter is special lifts preferred embodiment, and cooperates appended graphicly, elaborates as follows.
Description of drawings
Fig. 1 illustrates the key diagram in order to the employed oblique fringe region of explanation present embodiment.
Fig. 2 is the determination methods synoptic diagram in the oblique marginal existence of explanation decision zone.
Fig. 3 shows present embodiment need carry out oblique interior area schematic of inserting.
Fig. 4 illustrates present embodiment and detects the synoptic diagram that carries out oblique interior angle of inserting.
Fig. 5 A, 5B illustrate the slope synoptic diagram of the oblique line at oblique edge in the present embodiment.
Fig. 6 is the schematic flow sheet of oblique line method for detecting position of the present invention.
[main element label declaration]
100,102,110,112,114,116,118: oblique fringe region
L1, L2, L3: adjacent lines
I, II overlap regional
Embodiment
In increasing resolution of displayed images, the mode of inserting in tending to adopt is inserting one or many lines in twos between the neighbor, to promote resolution.In this mode, the part that image has an oblique line with oblique interpolation for it, if do not have then for it with vertical interpolation.The present invention is directed to and insert part in oblique, proposes a kind of can be more effectively and accurately judge the method that the oblique line tram belongs to.And, through this method, the slope of more accurate oblique line can be provided, make and insert in oblique more accurately that it is better that resolution promotes effect.
Fig. 1 illustrates the key diagram in order to the employed oblique fringe region of explanation present embodiment.As shown in Figure 1, it illustrates in the picture signal wherein the pixel value of the part scope of two adjacent lines L1, L2, and the numerical value shown in the figure is pixel value, and its scope can be for example 0 to 255.In this figure, cited numerical value is not in order to the restriction scope only as the usefulness of explanation.
In the present embodiment, oblique fringe region is divided into two kinds, and a kind of for bearing oblique fringe region, another is just oblique fringe region.The definition of oblique edge pixel and oblique fringe region then is described.
At first, when carrying out the method for present embodiment, can define an edge critical value earlier, this edge critical value is to be used for judging whether the benchmark as a beveled edge pixel.Various situation when this edge critical value can be according to practical implementation are set.In this embodiment, be 10 to describe with the edge critical value, but be not to be used for limiting practical range of the present invention.This edge critical value mainly be judge in the image point corresponding in the adjacent lines margin of image element whether enough greatly with as oblique edge pixel.
As shown in Figure 1, in two adjacent line pixel information L1, L2, (in this example, pixel value i=1-15) deducts the pixel value of each corresponding pixel points Xi of alignment L1 to each pixel Xi of following alignment L2, then just can obtain and negative margin of image element at each point.At this, pixel value can be GTG value, brightness value, brightness value etc., perhaps other those skilled in the art can think and various suitable demonstration numerical value.
For each pixel Xi, when this pixel value of alignment L2 is less than the corresponding point pixel value of last alignment L1 instantly, and the absolute value of this difference is then given the label (tag) of "-" greater than above-mentioned edge critical value; Otherwise when if down this pixel value of alignment L2 is greater than the corresponding point pixel value of last alignment L1, and the absolute value of this difference is then given the label of "+" greater than above-mentioned edge critical value.At this, label "+" and "-" can use any two kinds of different labels of supporting differentiation to make marks only as the usefulness of explanation, for example come alternative "+" and "-" etc. with " 1 " and " 0 ".
In Fig. 1,, be called marginal edge for the margin of image element of the corresponding pixel of last following L1, L2 situation for negative label ("-").For example, to the pixel of corresponding row X3 among Fig. 1, be 119 at the pixel value that is listed as L1, the pixel value of row L2 is 96, and both differences are-23, and therefore its absolute value gives "-" label, promptly marginal edge greater than the critical value that sets 10 between two row.In addition, a plurality of continuous marginal edge with "-" label then constitute so-called marginal edge zone 100 in the present embodiment, the zone that is crossed like corresponding row X3 to X10 among Fig. 1.
Otherwise, be the situation of positive label ("+") for the margin of image element of the corresponding pixel of last following L1, L2, be called positive edge.For example, to the pixel of corresponding row X11 among Fig. 1, be 124 at the pixel value that is listed as L1, the pixel value of row L2 is 167, and both differences are 43, and therefore its absolute value gives "+" label greater than the critical value that sets 10 between two row, promptly positive edge.In addition, a plurality of continuously positive edges with "+" label then constitute so-called positive fringe region 102 in the present embodiment, the zone that is crossed like corresponding row X11 to X15 among Fig. 1.
In addition, each pixel of corresponding row X1 to X2 part is because go up the absolute value excess edge critical value 10 not of the pixel value of following L1, L2, so do not give label.
Marginal edge zone and positive fringe region through determining out in the above described manner just can be used for detecting the oblique line position in the image.
Then, explain that the method for utilizing present embodiment comes in the sign picture picture significantly oblique line position.Fig. 2 to Fig. 4 illustrates with three adjacent lines the method that indicates oblique edge is described.
According to the described mode of Fig. 1,, can produce the label of two fringe regions through the data of three contiguous pixels row L1, L2, L3.Fig. 2 illustrates the capable pixel of X1 to X31, and this 31 row is only as the usefulness of illustrative examples, non-number of lines when limiting actual enforcement.As shown in Figure 2, row L1 produces marginal edge zone 110, marginal edge zone 112 and positive fringe region 114 respectively with the pixel data of row L2.In like manner, row L2 produces marginal edge zone 116 and positive fringe region 118 respectively with the pixel data of row L3.
After determining in twos the fringe region between the neighbor, then be to judge whether to have scope to overlap between the two neighbouring fringe regions or approaching.Have in this so-called scope to overlap or between the pixel of corresponding row, have the marginal point of same label between the two neighboring edge zones, that is the location of pixels of going up between following is to belong to same delegation near being meant up and down.For example shown in Figure 2, between the pixel of the X6-X8 that is expert at, row L1 and the row marginal edge zone 110 between the L2, and the marginal edge zone 116 between row L2 and the row L3 is expert at and overlaps between the X7-X8, i.e. area I.In like manner, between the pixel of the X19-X23 that is expert at, row L1 and the positive fringe region 114 of row between the L2, and the positive fringe region 118 between row L2 and the row L3 overlaps, i.e. area I I.In addition, judge whether near the time, can make a critical value and decide two oblique fringe regions whether to belong to approaching.For example, to differ 5 pixels as judging whether that the situation the when decision of counting can be implemented according to reality changes near the basis.
In case the scope that overlaps determines out, just can judge the existence that oblique edge is arranged.In other words, the scope in two neighboring edges zone up and down have overlap or near the time, the portrait of then judging those fringe region regions is to have oblique edge in the image.The fringe region of individualism does not promptly overlap or approaching zone with other zone, then is judged as not have oblique edge.
When oblique edge exist region decision to come out after, be will determine (sign) to go out need to carry out the zone of inserting in oblique.Fig. 3 shows present embodiment need carry out oblique interior area schematic of inserting.
After detecting oblique marginal existence zone, be the interior slotting processing that to carry out deinterleave.As noted earlier, when deinterleave, to carry out so-called inserting in oblique in the same image between the two row pixels in oblique marginal existence zone and handle, to not carry out so-called vertical interpolation between the two row pixels of oblique fringe region and handle and do not exist.Therefore, must have oblique edge to demarcate the zone that is associated with this oblique edge again, and only in this zone, carry out oblique in slotting processing, this extra-regional part is then carried out the vertical interpolation processing; Yet extra-regional part can also be carried out the interior processing of inserting by alternate manner.
As shown in Figure 3, when the explanation like Fig. 1 and Fig. 2, when determining oblique marginal position, this is neighbouring and the position overlaps each other or approaching fringe region itself has indicated the zone that need carry out oblique interior slotting processing with fringe region (positive and negative).Inserting processing region in this is the couplet collection of positive and negative fringe region.Then, do and illustrate further.
Of top Fig. 2, the overlapping in marginal edge zone partly be an area I, comprises therefore that approaching with it marginal edge zone 110,112 and 116 etc. is need carry out oblique interior slotting zone 1.In like manner, the overlapping of positive fringe region partly be area I I, comprises therefore that this overlapping area I I and approaching with it fringe region 114,118 etc. are need carry out oblique interior slotting zone 2.The couplet collection in zone shown in Figure 31 and zone 2, promptly containing capable X1 all is will carry out inserting in oblique handling to the whole zone of row X31.
Then, insert the processing region decision in oblique after, be will determine to do the angle of inserting in oblique.Fig. 4 illustrates present embodiment and detects the synoptic diagram that carries out oblique interior angle of inserting.
In the position that detects oblique edge and behind the zone that need carry out inserting in oblique, then to determine the angle at this oblique edge.Correct angle can make the sawtooth of the oblique line at oblique edge disappear, and makes display frame more comfortable and clear, makes resolution be able to promote.Otherwise incorrect angle can reduce oblique interior effect of inserting, even can on picture, produce wrong or assorted point, makes the resolution variation.
In abovementioned steps, in the zone of detected oblique line with oblique edge, relevant neighbouring fringe region (for example 114 among Fig. 2 and 118) has comprised the information of angle (slope).Below will describe with Fig. 4 and Fig. 5 A, 5B.Fig. 4 illustrates present embodiment and detects the synoptic diagram that carries out oblique interior angle of inserting.Fig. 5 A, 5B illustrate the slope synoptic diagram of the oblique line at oblique edge in the present embodiment.
As shown in Figure 4, explain with aforesaid positive fringe region.The overlapping area I I of Fig. 2 is for judging the position of the oblique line that has oblique edge.Afterwards, I is as the criterion with this overlapping area I, and neighbouring relevant range is positive fringe region 114 and positive fringe region 118.The oblique line gradient of being come out by 114,118 decisions of positive fringe region is exactly the distance that differs of the position of fringe region own, this detected oblique line slope just, or the relevant edge zone formed angle that links to each other up and down.Therefore, in the angle decision, can be undertaken by following mode.
As shown in Figure 4, be two-end-point with first point (row X9) B of first point of positive fringe region 114 (row X19) A and positive fringe region 118, will put terminal A, B obtains line AB after connecting.This oblique line AB just can determine slope.Shown in Fig. 5 A and 5B, the illustration of its reduced graph 4 is in order to explanation.Can be clear that more that by Fig. 5 A, 5B oblique line AB is in the horizontal direction at a distance of 10 pixels, again because be two row pixels, so highly be two pixels.Therefore, can obtain slope (angle θ) is 5.
In addition, aforesaid explanation, the interval of each 5 pixel promptly is to carry out the zone of inserting in oblique about center point P, and is that slope with the resulting oblique line AB of said method carries out carrying out the slope when slotting in oblique.Therefore, determine the position of oblique edge oblique line and the angle of oblique interior slotting processing, just can carry out the reinforcement of resolution accurately through present embodiment.
In above-mentioned example, be with in the adjacent up and down two oblique fringe regions each first put and connect determining oblique line, and then make slope.In addition, also can utilize each last point in two oblique fringe regions to decide some C, D for example shown in Figure 4.Can find out that by figure the slope that two oblique line AB, CD determine out is much at one.In addition, each intermediate point that also can get in two oblique fringe regions decides, or inserts in carry out at two with the slope of AB and CD respectively, and middle part is then carried out interior inserting with the average slope of this two slope.
Through this mode, the slope trend of the pixel that inserts in the time of just can accurately obtaining to carry out to insert in oblique, and make the demonstration of image more accurate certain.
Fig. 6 illustrate present embodiment the oblique edge of detection method and use and insert the schematic flow sheet of handling in this method oblique.
As shown in Figure 6, at first at step S100, select (reading) three adjacent pixel column.Basically, an image frame has many horizontal pixel row to constitute, and when carrying out present embodiment, need utilize three contiguous pixels to be listed as and carry out.In addition, for whole image, then read all pixel columns in this way in proper order and carried out oblique rim detection recited above and the oblique interior processing of inserting, the resolution of having accomplished whole image increases processing.
Then, at step S102,, produce first and second oblique fringe region by the adjacent pixel column in twos among the above-mentioned steps S100.For example, in the above described manner, produce the first oblique fringe region 110,112 or 114, and produce the second oblique fringe region 116 or 118 by row L2, L3 by row L1, L2.At this, first and second oblique fringe region is meant neighbouring and has the fringe region of same label, for example is all plus or minus.
The producing method of fringe region is after each pixel value with two pixel columns subtracts each other each other, to compare with its absolute value and edge critical value, to judge between adjacent two pixels whether have the plus or minus marginal point.The set of the adjacent plus or minus marginal point of same column then constitutes oblique fringe region.
Afterwards,, detect whether have overlapping or approaching part between the first oblique fringe region and the second oblique fringe region at step S104, can be about overlapping or approaching definition with reference to above-mentioned explanation.Between the first oblique fringe region and the second oblique fringe region, exist to overlap or approaching part, can judge that then the oblique line that oblique edge is arranged in this zone exists, and accomplishes the detection at edge to this.Otherwise, do not overlap or approaching part if do not exist between the first oblique fringe region and the second oblique fringe region, then be judged to be the oblique line that does not have oblique edge in this zone and exist.
Then, utilize to overlap or approaching oblique edge, try to achieve and to carry out the oblique interior zone of handling of inserting at step S106.Having of will in step S104, being determined overlaps or first and second approaching oblique fringe region, is set to carry out the oblique interior zone of handling of inserting.That is in three adjacent pixel column, all have overlapping or first and second approaching oblique fringe region joins collection, and the zone of being contained is exactly to carry out the oblique interior zone of handling of inserting in these three pixel columns.
Then, step S108 determines the slope (angle) of the oblique line at oblique edge.Behind the zone that step S106 determines to carry out to insert in oblique, utilize above-mentioned overlapping or first and second approaching oblique fringe region, seek out the slope (angle) of the oblique line at oblique edge, detailed method can be referring to the explanation of Fig. 4 and Fig. 5 A, 5B.
At last, in the good zone of step S106 decision,, carry out oblique interior inserting and handle with the slope of being tried to achieve.That is, in the zone of in three adjacent pixel column needs between any two are oblique, inserting, carry out oblique interior inserting with this slope and handle.In addition, other part beyond in this zone is then handled with vertical interpolation and is carried out; Yet extra-regional part can also be carried out the interior processing of inserting by alternate manner.By this, when deinterleave, resolution is increased, with the jagged edge of removal of images hypotenuse.
In sum; According to method of the present invention, set through oblique fringe region, can detect the position of the oblique line at oblique edge more accurately; And in the method; The information of the implicit oblique line slope of oblique fringe region to provide as the usefulness of inserting processing in oblique, can make oblique interior inserting handle to carry out accurately with more accurate angle.Through technology of the present invention, the resolution of image can more be strengthened.
Though the present invention discloses as above with preferred embodiment; Right its is not in order to limit the present invention; Any those skilled in the art; Do not breaking away from the spirit and scope of the present invention, when can doing a little change and retouching, so protection scope of the present invention is as the criterion when looking appended the claim scope person of defining.
Claims (16)
1. the detection method of an image border comprises:
Read in this image three adjacent first, second and the 3rd pixel column, and read respectively this first, this second with the 3rd pixel column in a plurality of pixel values;
Between this first and second pixel column, produce at least one first oblique fringe region; And between the two or three pixel column, produce at least one second oblique fringe region, wherein this first be respectively respectively this pixel value between corresponding with it neighbouring pixel column same lines with this second oblique fringe region difference above the edge critical value;
Whether detect this first has repeating part or differs within the intended pixel point with this second oblique fringe region; And
When this first and this second oblique fringe region between have repeating part or differ within the intended pixel point, judge this first and this second oblique fringe region between the zone be oblique edge.
2. the detection method of image border according to claim 1 wherein produces this first oblique fringe region and also comprises:
With this first with this second pixel column in respectively this pixel value of same lines subtract each other, with produce this first and this second pixel column between margin of image element;
Relatively this first and this second pixel column between the absolute value of this margin of image element whether surpass this edge critical value;
When surpassing this edge critical value, with this first and this second pixel column in give label between two pixels; And
With this first and this second pixel column between, a plurality of adjacent one another are and location definitions that have this label are this first oblique fringe region.
3. the detection method of image border according to claim 2 wherein produces this second oblique fringe region and also comprises:
With this second with the 3rd pixel column in respectively this pixel value of same lines subtract each other, to produce the margin of image element between this second and the 3rd pixel column;
Relatively whether the absolute value of this margin of image element between this second and the 3rd pixel column surpasses this edge critical value;
When surpassing this edge critical value, with giving this label between two pixels in this second and the 3rd pixel column; And
Between this second and the 3rd pixel column, a plurality of adjacent one another are and location definitions that have this label are this second oblique fringe region.
4. the detection method of image border according to claim 2, wherein this label is a two-value data.
5. the detection method of image border according to claim 4, wherein this two-value data is a plus or minus.
6. the detection method of image border according to claim 1, wherein this oblique edge is a plurality of the overlapping each other or the couplet collection of approaching this first and this second oblique fringe region.
7. image interpolation method comprises:
Read in this image three adjacent first, second and the 3rd pixel column, and read respectively this first, this second with the 3rd pixel column in a plurality of pixel values;
Between this first and second pixel column, produce at least one first oblique fringe region; And between the two or three pixel column, produce at least one second oblique fringe region, wherein this first be respectively respectively this pixel value between corresponding with it neighbouring pixel column same lines with this second oblique fringe region difference above the predetermined edge critical value;
Whether detect this first has repeating part or differs within the intended pixel point with this second oblique fringe region;
When this first and this second oblique fringe region between have repeating part or differ within the intended pixel point, judge this first and this second oblique fringe region between the zone be oblique line, and be to insert the zone in oblique;
Respectively with this first with this second oblique fringe region in the couplet collection of specified point, determine the slope of this oblique line; And
In this is oblique, insert in the zone, carry out oblique interior inserting with this slope and handle.
8. image interpolation method according to claim 7 also comprises: in this is oblique, insert outside the zone, carry out vertical interpolation and handle.
9. image interpolation method according to claim 7, wherein this inserts the couplet collection that zone be a plurality of overlappings each other or approaching this first and this second oblique fringe region in oblique.
10. image interpolation method according to claim 7, wherein this specified point be this first with this second oblique fringe region in each first point.
11. image interpolation method according to claim 7, wherein this specified point be this first with this second oblique fringe region in last point.
12. image interpolation method according to claim 7, wherein this specified point be this first with this second oblique fringe region in intermediate point.
13. image interpolation method according to claim 7 wherein produces this first oblique fringe region and also comprises:
With this first with this second pixel column in respectively this pixel value of same lines subtract each other, with produce this first and this second pixel column between margin of image element;
Relatively this first and this second pixel column between the absolute value of this margin of image element whether surpass this edge critical value;
When surpassing this edge critical value, with this first and this second pixel column in give label between two pixels; And
With this first and this second pixel column between, a plurality of adjacent one another are and location definitions that have this label are this first oblique fringe region.
14. image interpolation method according to claim 13 wherein produces this second oblique fringe region and also comprises:
With this second with the 3rd pixel column in respectively this pixel value of same lines subtract each other, to produce the margin of image element between this second and the 3rd pixel column;
Relatively whether the absolute value of this margin of image element between this second and the 3rd pixel column surpasses this edge critical value;
When surpassing this edge critical value, with giving this label between two pixels in this second and the 3rd pixel column; And
Between this second and the 3rd pixel column, a plurality of adjacent one another are and location definitions that have this label are this second oblique fringe region.
15. image interpolation method according to claim 13, wherein this label is a two-value data.
16. image interpolation method according to claim 15, wherein this two-value data is a plus or minus.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2008100911108A CN101551899B (en) | 2008-04-02 | 2008-04-02 | Image edge detection method and image interpolation method using same |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2008100911108A CN101551899B (en) | 2008-04-02 | 2008-04-02 | Image edge detection method and image interpolation method using same |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101551899A CN101551899A (en) | 2009-10-07 |
| CN101551899B true CN101551899B (en) | 2012-06-27 |
Family
ID=41156131
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2008100911108A Expired - Fee Related CN101551899B (en) | 2008-04-02 | 2008-04-02 | Image edge detection method and image interpolation method using same |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101551899B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103136741A (en) * | 2011-12-05 | 2013-06-05 | 联咏科技股份有限公司 | Edge detection method for fixed pattern and circuit |
| CN106296614B (en) * | 2016-08-17 | 2019-12-13 | 北京集创北方科技股份有限公司 | Image processing apparatus and image processing method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1406437A (en) * | 2000-12-27 | 2003-03-26 | 松下电器产业株式会社 | Stillness judging device and scanning line interpolating device having it |
| US20030076447A1 (en) * | 2002-10-11 | 2003-04-24 | Samsung Electronics Co., Ltd. | Method of edge direction detection based on the correlations between pixels of a vector and an edge direction detection system |
| CN101031029A (en) * | 2007-04-04 | 2007-09-05 | 华为技术有限公司 | Method and apparatus for processing video image |
-
2008
- 2008-04-02 CN CN2008100911108A patent/CN101551899B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1406437A (en) * | 2000-12-27 | 2003-03-26 | 松下电器产业株式会社 | Stillness judging device and scanning line interpolating device having it |
| US20030076447A1 (en) * | 2002-10-11 | 2003-04-24 | Samsung Electronics Co., Ltd. | Method of edge direction detection based on the correlations between pixels of a vector and an edge direction detection system |
| CN101031029A (en) * | 2007-04-04 | 2007-09-05 | 华为技术有限公司 | Method and apparatus for processing video image |
Non-Patent Citations (2)
| Title |
|---|
| JP特開2003-87750A 2003.03.20 |
| JP特開2006-270997A 2006.10.05 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101551899A (en) | 2009-10-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103810675B (en) | Image super-resolution reconfiguration system and method | |
| CN101029824B (en) | Method and apparatus for positioning vehicle based on characteristics | |
| US7161602B2 (en) | Pixel interpolation method and related pixel interpolation system | |
| KR100727992B1 (en) | A method for detecting bisection pattern in deinterlacing | |
| CN102055988B (en) | Image processing apparatus and control method therefor | |
| EP2790178A1 (en) | Data processing device and display system including the same with compensation for missing colours in a displayed text | |
| CN100473141C (en) | Image angle detection device and scan line interpolation device having the same | |
| CN103475838B (en) | A kind of interlace-removing method based on edge self-adaption | |
| AU2013336028B2 (en) | Image processing device, image processing method, and computer program | |
| CN103198468B (en) | Image processing apparatus, image processing method and image processing system | |
| CN101841643A (en) | Method and device for detecting black edge | |
| CN101902548B (en) | Image processing apparatus, imaging apparatus, and image processing method | |
| CN103069430A (en) | Two-dimensional code reader and program | |
| CN108961200A (en) | A kind of dust detection method and device | |
| CN101551899B (en) | Image edge detection method and image interpolation method using same | |
| JP3926673B2 (en) | Vehicle type identification device | |
| US20140205200A1 (en) | Image binarization using dynamic sub-image division | |
| CN114071209A (en) | Method and device for detecting video image display area in real time and electronic equipment | |
| JP4197768B2 (en) | Information reading system | |
| USRE43479E1 (en) | Color interpolation method | |
| JP2009277001A (en) | Image processor | |
| US8116572B2 (en) | Method for detecting image edge and image interpolation using the same | |
| CN101827206B (en) | Dynamic adaptable deinterlacing device with CUE remover and method thereof | |
| CN101365051B (en) | System and method for edge direction detection for spatial deinterlacing | |
| CN102096902A (en) | Image processing method considering cross processing, and digital image scaling method and device |
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 | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120627 Termination date: 20150402 |
|
| EXPY | Termination of patent right or utility model |