CN101763631B - Image shrinking method based on weighted sum - Google Patents
Image shrinking method based on weighted sum Download PDFInfo
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- CN101763631B CN101763631B CN 200810239420 CN200810239420A CN101763631B CN 101763631 B CN101763631 B CN 101763631B CN 200810239420 CN200810239420 CN 200810239420 CN 200810239420 A CN200810239420 A CN 200810239420A CN 101763631 B CN101763631 B CN 101763631B
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Abstract
The invention belongs to video and image processing techniques, and particularly relates to an image shrinking method based on weighted sum. The method realizes shrinking of gray scale images by a method of calculating the weighted sum value of the grey scale values of all pixel points in an adjacent region of each pixel point as the output result; in the process that the width value of the shrinking of the grey scale image changes, the shrinking effect of the grey scale image after processing becomes very smooth; and in the shrinking process, the shrinking of each point is trend shrinking with a circular boundary and can not generate a stiff square-shaped boundary.
Description
Technical field
The invention belongs to video and image processing techniques, be specifically related to a kind of image shrinking method based on weighted sum.
Background technology
In the special effect processing of high-quality video and image, need to expand or shrink gray level image.Traditional gray level image contraction method all is based in the neighborhood of each pixel (normally a rectangular area in) and finds out the contraction that minimum gradation value realizes gray level image.This method is easily understood, but effect is not fully up to expectations.At first, can cause shrinking the effect that the square border occurs in rectangular area search minimum value; In addition, it is a pixel that the minimum in the process that the region of search increases of this method increases unit, and this is just so that the effect that image shrinks is more stiff in the process that the region of search changes.
Some gray level image contraction method can allow template of user selection, this template can allow region of search of user oneself definition.Although this method has solved the problem of above-mentioned square boundary effect, can't resolve the problem that image effect becomes stiff in the process that the region of search changes.
Summary of the invention
The object of the invention is to the defective for prior art, a kind of image shrinking method based on weighted sum is provided, make the image effect after the contraction more level and smooth, do not produce stiff square boundary effect.
Technical scheme of the present invention is as follows: a kind of image shrinking method based on weighted sum comprises the steps:
(1) the width value width of selected gray level image contraction;
(2) gray-scale value of each pixel of current gray level image being carried out negate processes;
(3) determine a square area scope and weight coefficient w that should the zone according to the width value width that shrinks;
(4) for each pixel in the image after the negate processing, centered by this pixel, the sum product of all pixel gray-scale values and weight coefficient w in the determined square area scope of calculation procedure (3);
(5) result of calculation is carried out amplitude limiting processing;
(6) gray-scale value of each pixel of the image after the amplitude limiting processing is carried out negate again and process, namely get the pixel gray-scale value of target image.
Further, aforesaid image shrinking method based on weighted sum, wherein, the length of side L=ceil(width of the square area described in the step (3)) * 2+1.
Further, aforesaid image shrinking method based on weighted sum is in the step (3), if the pixel in the square area scope is r to the distance of central point, during the width value width that shrinks when image 〉=3, if r≤(width-3), then weight coefficient w=1; If r＞(width-3), then weight coefficient
Further, aforesaid image shrinking method based on weighted sum, in the step (3), the pixel of establishing in the square area scope is r to the distance of central point, when the width value width of image contraction＜3, weight coefficient
Wherein, σ=(1-t) * and 0.4+t, t=width/3.
Beneficial effect of the present invention is as follows: the present invention does not adopt this traditional approach of looking for minimum gradation value in a neighborhood of each pixel, but realize the contraction of gray level image as the method for Output rusults by the value of all the pixel gray-scale value weighted sums in the neighborhood that calculates each pixel, in the process that the width value width that gray level image shrinks changes, it is very level and smooth that the contractive effect of the gray level image after the processing becomes, and, each point is to shrink with the trend of circular boundary in the process of shrinking, and does not have very stiff square shape border and occurs.
Description of drawings
Fig. 1 is method flow diagram of the present invention;
Fig. 2 is gray level image contractive effect figure of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments the present invention is described in detail.
Image shrinking method flow process based on weighted sum provided by the present invention comprises the steps: as shown in Figure 1
(1) the width value width of selected gray level image contraction;
(2) gray-scale value of each pixel of current gray level image being carried out negate processes;
(3) determine a square area scope and weight coefficient w that should the zone according to the width value width that shrinks;
(4) for each pixel in the image after the negate processing, centered by this pixel, the sum product of all pixel gray-scale values and weight coefficient w in the determined square area scope of calculation procedure (3);
(5) result of calculation is carried out amplitude limiting processing; For the 8bit gray level image, generally will be above 255 value amplitude limit to 255;
(6) gray-scale value of each pixel of the image after the amplitude limiting processing is carried out negate again and process, namely get the pixel gray-scale value of target image.
The present invention at first will carry out negate and process to the gray-scale value of each pixel of current gray level image, for a selected contracted width width, width is a floating number, unit is pixel, when determining the foursquare regional length of side, need to the width processing that rounds up, obtain the length of side L=ceil(width of the square area described in the step (3) according to following formula) * 2+1, so just be equivalent to have the zone of a L * L size.
When determining the weight coefficient of above-mentioned square area, the pixel of establishing in the square area scope is r to the distance of central point, selects calculating according to the size of width value.
During the width value width that 1) shrinks when image 〉=3,
If r≤(width-3), then weight coefficient w=1;
If r＞(width-3), then weight coefficient
During the width value width that 2) shrinks when image＜3, note t=width/3,
Note σ=(1-t) * 0.4+t
Weight coefficient
For instance: work as width=1.5, weighting coefficient matrix is as follows:
By finding the solution the sum product of interior all the pixel gray-scale values of square area range L * L and corresponding weight coefficient w, result of calculation is carried out amplitude limiting processing, then the gray-scale value of each pixel of the image after the amplitude limiting processing is carried out negate again and process, namely get the pixel gray-scale value of target image.
The contractive effect figure that has represented several width values among Fig. 2, wherein (a) is original-gray image, (b) is image after the contraction of width=0.5, (c) is image after the contraction of width=2.5, (d) is image after the contraction of width=5.
Method of the present invention is not limited to the embodiment described in the embodiment, and those skilled in the art's technical scheme according to the present invention draws other embodiment, belongs to equally technological innovation scope of the present invention.
Claims (4)
1. the image shrinking method based on weighted sum comprises the steps:
(1) the width value width of selected gray level image contraction;
(2) gray-scale value of each pixel of current gray level image being carried out negate processes;
(3) determine a square area scope and weight coefficient w that should the zone according to the width value width that shrinks;
(4) for each pixel in the image after the negate processing, centered by this pixel, the sum product of all pixel gray-scale values and weight coefficient w in the determined square area scope of calculation procedure (3);
(5) result of calculation is carried out amplitude limiting processing;
(6) gray-scale value of each pixel of the image after the amplitude limiting processing is carried out negate again and process, namely get the pixel gray-scale value of target image.
2. the image shrinking method based on weighted sum as claimed in claim 1 is characterized in that: the length of side L=ceil(width of the square area described in the step (3)) * and 2+1.
3. the image shrinking method based on weighted sum as claimed in claim 1 or 2, it is characterized in that: in the step (3), the pixel of establishing in the square area scope is r to the distance of central point, when the width value width of image contraction 〉=3, if r≤(width-3), then weight coefficient w=1; If r＞(width-3), then weight coefficient
4. the image shrinking method based on weighted sum as claimed in claim 1 or 2 is characterized in that: in the step (3), the pixel of establishing in the square area scope is r to the distance of central point, when the width value width of image contraction＜3, and weight coefficient
Wherein, σ=(1-t) * and 0.4+t, t=width/3.
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| CN 200810239420 CN101763631B (en) | 2008-12-09 | 2008-12-09 | Image shrinking method based on weighted sum |
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| CN 200810239420 CN101763631B (en) | 2008-12-09 | 2008-12-09 | Image shrinking method based on weighted sum |
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| CN101763631B true CN101763631B (en) | 2013-05-01 |
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