Image interpolation algorithm based on region consistency
An interpolation algorithm and consistency technology, applied in image data processing, graphic image conversion, computing and other directions, can solve the problems of occupying a lot of memory space, difficult to implement, and high computational complexity.
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Embodiment 1
[0097] The specific implementation of the image interpolation algorithm based on regional consistency described in the present invention is given below, the basic idea is to first determine the position of the interpolation point in the original image, then use the threshold value to judge the area around the interpolation point, and then Determine the area to which the interpolation point belongs, and then use the interpolation formula to obtain the pixel value of the interpolation point, and finally output the interpolated image. The flow chart is as follows figure 2 shown. The image interpolation algorithm based on regional consistency of the present invention comprises the following steps:
[0098] (1) The original image is F(x, y), the enlarged image is H(x, y), and an interpolation point h(i, j) in the enlarged image is obtained;
[0099] (2) Use threshold judgment to divide the interpolation points into regions, and determine the region to which the interpolation poin...
Embodiment 2
[0107] The image interpolation algorithm based on regional consistency of the present invention comprises the following steps:
[0108] (1) The original image is F(x, y), the enlarged image is H(x, y), and an interpolation point h(i, j) in the enlarged image is obtained;
[0109] (2) Use threshold judgment to divide the interpolation points into regions, and determine the region to which the interpolation points belong, including:
[0110] 1, when the interpolation point h (i, j) is in the same column as the original pixel point, obtain the original pixel point f (x, y above the interpolation point, obtain the original pixel point f (x+1, below the interpolation point, y), set y1=|f(x, y)-f(x+1, y)|, t is the set threshold, where t is 100, and the unit is the pixel value. If y1
Embodiment 3
[0119] The image interpolation algorithm based on regional consistency of the present invention comprises the following steps:
[0120] (1) The original image is F(x, y), the enlarged image is H(x, y), and an interpolation point h(i, j) in the enlarged image is obtained;
[0121] (2) Use threshold judgment to divide the interpolation points into regions, and determine the region to which the interpolation points belong, including:
[0122] 1, when the interpolation point h (i, j) is in the same column as the original pixel point, obtain the original pixel point f (x, y above the interpolation point, obtain the original pixel point f (x+1, below the interpolation point, y), set y1=|f(x, y)-f(x+1, y)|, t is the set threshold value, here t is taken as 130, and the unit is the pixel value. If y1
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