文件名称:Aravind
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- 上传时间：2014-01-28
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文件大小：4.16kb
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In an image edge is more important to interpolate the missing pixel values.
In similarity algorithm edge is detected using the unified high frequency map.
Based on this the missing green pixels are interpolated by taking the average of surrounding values. Then the missing red and blue values are interpolated similarly.
-In an image edge is more important to interpolate the missing pixel values.
In similarity algorithm edge is detected using the unified high frequency map.
Based on this the missing green pixels are interpolated by taking the average of surrounding values. Then the missing red and blue values are interpolated similarly.
In similarity algorithm edge is detected using the unified high frequency map.
Based on this the missing green pixels are interpolated by taking the average of surrounding values. Then the missing red and blue values are interpolated similarly.
-In an image edge is more important to interpolate the missing pixel values.
In similarity algorithm edge is detected using the unified high frequency map.
Based on this the missing green pixels are interpolated by taking the average of surrounding values. Then the missing red and blue values are interpolated similarly.
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下载文件列表
Aravind/aravind.asv
Aravind/aravind.m
Aravind/cpsnr.m
Aravind/aravind.m
Aravind/cpsnr.m
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