A method for reducing the vertical size of an image with a vertical filter
A size reduction and filter technology, applied in the field of image processing, can solve the problems of multiplier resource usage, area increase, design and implementation cost increase, etc., to save multiplier logic resources, reduce design and implementation costs, and achieve good image quality. Effect
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[0030] The minimum vertical reduction ratio of the image of the vertical filter is 1 / 8 of the original size.
[0031] The first step is to determine the number of line buffers and selectors required by the vertical filter:
[0032] First, divide the range of [0,1] into three intervals (see image 3 ), and according to the principle of ensuring that all pixel data participate in filtering, each interval corresponds to a specific filtering order, which are:
[0033] ●Reduction ratio: SR 2 ~(1 / 2,1] corresponds to a filter order of 2;
[0034] ●Reduction ratio: SR 1 ~(1 / 4,1 / 2] corresponds to a filter order of 4;
[0035] ●Reduction ratio: SR 0 ~[0,1 / 4] corresponds to a filter order of 8;
[0036] min(LB_num 1 ) = tap_num 1 *max(SR 1 )=1*2=2;
[0037] min(LB_num 2 ) = tap_num 2 *max(SR 2 )=1 / 2*4=2;
[0038] min(LB_num 3) = tap_num 3 *max(SR 3 )=1 / 4*8=2;
[0039] Therefore, LB_num=max(min(LB_num 1 ), min(LB_num 2 ), min(LB_num 3 ))=2.
[0040] It can be seen th...
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