CN100409658C - Method of antinoise of edge sawteeth in zooming images - Google Patents
Method of antinoise of edge sawteeth in zooming images Download PDFInfo
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- CN100409658C CN100409658C CNB2006100861769A CN200610086176A CN100409658C CN 100409658 C CN100409658 C CN 100409658C CN B2006100861769 A CNB2006100861769 A CN B2006100861769A CN 200610086176 A CN200610086176 A CN 200610086176A CN 100409658 C CN100409658 C CN 100409658C
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Abstract
The method comprises: each pixel row at the edge of image is rightward and leftward prolongated or is upward and downward prolongated; the range of prolongation is within 2-10 pixels; the average value of a pixel at image edge and its adjacent pixels at right and left side is taken as the value of the pixel; taking the pixel value as the image displaying parameter. By the invention the scaled image remarkably improve its edge quality, and the sawtooth phenomenon is effectively controlled.
Description
One, technical field
The present invention relates to the important method and the module of anti-edge sawtooth noise in the image sealer.
Two, background technology
Digital picture is made of a lot of pixels, behind the image zoom, under the situation of the regular rectangle of right and wrong that especially obtains behind the convergent-divergent, the image border is angled straight line, there are some pixels " to stride " edge at object, usually the both sides, edge of object can present different colors, but whole pixel only presents a certain color on both sides, edge, and like this to object edge painted no matter be any look on both sides, because the unexpected saltus step of color all naturally can present zigzag between pixel.Edge-smoothing is used for handling sawtooth, and edge-smoothing is mainly by adjusting background and by the boundary line between the pixel area of reverse sawtooth, making curve more level and smooth.
Prior art adopts super sampling or multistage sampling method to realize the level and smooth of sawtooth, is used for the image border quality and improves, and crenellated phenomena is suppressed, and is obvious to the treatment effect of the non-regular rectangular graph that obtains behind the convergent-divergent.But in sampling and calculating, tend to the expensive time, wasted valuable resource.
Three, summary of the invention
The present invention seeks to: provide the method for anti-edge sawtooth noise in a kind of image sealer, thereby the edge sawtooth that makes image zoom handle the back appearance does not exist or seems not obvious.
The object of the present invention is achieved like this:
The system of selection of anti-edge sawtooth noise in the image sealer, in the every capable pixel of image border to the left and right or both sides continuation up and down.The continuation scope is in 2～10 pixels.Especially in 2～5 pixels.
Especially in this scope, do average pixel value as this pixel with the pixel of every capable pixel of this image border with from the left and right sides pixel value near the pixel of image border.With the parameter of this pixel value as the image demonstration.
Realization of the present invention is based on such thought, pending image is adopted the method for pixel continuation, promptly prolong several pixels to opening up toward left and right directions through the every capable pixel of scaled images, pixel for new continuation, interpolation by computed image edge each point pixel value, sawtooth is carried out pixel value do on average, compensate calculating, remedy or blanking, thereby reach the softening image border, eliminate the effect of edge sawtooth.Image after handling like this, between image border and background, set up a color transition band, eliminated the saltus step between original image edge pixel point color and background dot color, made that the edge that shows at last is edge or the unconspicuous edge of sawtooth that does not have crenellated phenomena on screen.
Characteristics of the present invention are: processing procedure is simple, and the time spent, seldom entire method was simply effective.After using the inventive method scaled images being handled, the image border quality obviously improves, and crenellated phenomena is effectively suppressed, and is especially obvious to the treatment effect of the non-regular rectangular graph that obtains behind the convergent-divergent.If adopt super sampling or multistage sampling method to realize the level and smooth of sawtooth, on calculating, tend to the expensive time, and processing procedure of the present invention is very short, real-time is good, low to the relevant hardware configuration requirement, can be widely used in the occasion after all kinds of image zooms are handled, obtain good edge-smoothing effect.
Four, description of drawings
Fig. 1 is the flow chart of the inventive method
Five, embodiment
As shown in Figure 1, with reference to the program of the inventive method:
1, edge pixel point extracts, and calculates or sampling obtains the image edge pixels point coordinates, and (i j), has different calculation methods to different geometric figures according to the coordinate f of the marginal point of the geometric properties computational geometry figure of processing image.As handled be the isosceles trapezoid image, then there is the edge sawtooth at two trapezoidal waists, to be that the upper base of trapezoidal two waist known trapezoidal is long be L1 to the marginal point that is calculated, the long L2 that is goes to the bottom, height is H, make that marginal point is h in the distance of upper base, then Dui Ying left hand edge pixel horizontal coordinate computing formula is: L2/2-[(L2-L1) * h/2*H+L1/2], vertical coordinate is h; Right hand edge pixel horizontal coordinate computing formula is: L2/2+[(L2-L1) * h/2*H+L1/2], vertical coordinate is h.The coordinate of trying to achieve is above rounded just must the edge pixel point coordinates.
2, putting outside continuation plurality of pixels point from image edge pixels, is left hand edge according to the residing position of marginal point, right hand edge, top edge or lower limb respectively the new pixel after the continuation be f (i-1, j), f (i-2, j), and f (i-2, j) ... perhaps be f (i+1, j), and f (i+2, j), f (i+3, j) ... perhaps be f (i, j+1), f (i, j+2), f (i, j+3) ... perhaps be f (, j-1), f (i, j-2), and f (i, j-3) ... the new pixel that continuation is come out is composed fixed value (being the white pixel point as 255 between the 0-255).
3, do average pixel value from the pixel value that begins this pixel about original as this pixel near the pixel of image border, computing formula be f (i, j)=[f (and i-1, j)+f (i+1, j)]/2, this formula is corresponding to a left side, right hand edge; Perhaps be f (i, j)=[f (and i, j-1)+f (i, j+1)]/2, this formula is corresponding to last lower limb.Select different computing formula according to the difference at marginal point edge of living in.
4, do average method according to top, calculate the pixel pixel value that continuation is come out successively from the most close image edge pixels point beginning.
Repeating step 3,4 several times (as 2-5 time) obtain edge-smoothing effect preferably.
Claims (1)
1. the method for anti-edge sawtooth noise in the image sealer is characterized in that the continuation scope is in 2～10 pixels in the every capable pixel of image border to the left and right or both sides continuation up and down; Image edge pixels point in this scope and do average pixel value as this pixel from left and right sides pixel value near the pixel of image border, the parameter that this pixel value is shown as image; Extract from edge pixel point, calculate or sampling obtains the image edge pixels point coordinates, according to the coordinate f of the marginal point of the geometric properties computational geometry figure of processing image (i, j); Put outside continuation plurality of pixels point from image edge pixels, according to the residing position of marginal point be left hand edge, right hand edge, top edge or lower limb respectively the new pixel after the continuation be f (i-1, j), f (i-2, j), f (i-2, j) .., f (i+1, j), f (i+2, j), f (i+3, j) ..., f (i, j+1), and f (i, j+2), f (i, j+3) ... or be f (i, j-1), f (i, j-2), f (i, j-3) ...; The new pixel that continuation is come out is composed between the fixed value 0-255; Near the pixel of image border, the pixel value with this pixel about original is done on average from, as near the pixel value of the pixel of image border, computing formula be f (i, j)=[f (and i-1, j)+f (i+1, j)]/2, this formula is corresponding to a left side, right hand edge; Perhaps computing formula be f (i, j)=[f (and i, j-1)+f (i, j+1)]/2, this formula is corresponding to last lower limb; Select different computing formula according to the difference at marginal point edge of living in; Do average method according to top, begin to calculate successively the pixel pixel value that continuation is come out from the pixel of the most close image edge pixels point transformation; Repeat above-mentioned steps 2-5 time, obtain the edge-smoothing effect.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20210366443A1 (en) * | 2020-05-24 | 2021-11-25 | Novatek Microelectronics Corp. | Displaying method and processor |
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| CN101674197B (en) * | 2009-09-30 | 2012-01-25 | 华为技术有限公司 | Display method of network topological graph, display device and system |
| CN101778226B (en) * | 2010-01-25 | 2012-05-23 | 深圳市同洲电子股份有限公司 | High-definition image sawtooth-prevention method, device and digital television receiving terminal |
| KR101793283B1 (en) | 2011-04-20 | 2017-11-02 | 엘지디스플레이 주식회사 | Jagging improvement method and stereoscopic image display device using the same |
| KR101829459B1 (en) * | 2011-07-14 | 2018-02-14 | 엘지디스플레이 주식회사 | Image processing method and stereoscopic image display device using the same |
| CN102289786B (en) * | 2011-09-01 | 2013-08-21 | 青岛海信信芯科技有限公司 | Edge anti-aliasing method and device for image scaling |
| CN109491628A (en) * | 2018-10-16 | 2019-03-19 | 广东宝莱特医用科技股份有限公司 | A kind of method for drafting and system of quick reverse sawtooth waveform |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20210366443A1 (en) * | 2020-05-24 | 2021-11-25 | Novatek Microelectronics Corp. | Displaying method and processor |
| CN113724659A (en) * | 2020-05-24 | 2021-11-30 | 联詠科技股份有限公司 | Display method and processor |
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