tiny image filter with large filter

From: lucy (losemind_at_yahoo.com)
Date: 02/19/05

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    Date: Fri, 18 Feb 2005 17:41:45 -0800
    
    

    HI all,

    I am have a tiny image filtering with my 2D Gaussian filter. The Gaussian
    filter is 20 times larger than the tiny input image in both X and Y size.

    Are there any methods to speed up my convolution?

    Since I just want the same size output as my tiny input image size; can I
    truncate the Gaussian filter to be the same size as the tiny input to make
    the filter and the image the same size, so my convolution will be speed up
    significantly?

    I have done some trials but found the truncated results is not even correct
    to approximation. The reason is that my Gaussian is really a wider spread
    comparing with the tiny input image. So truncation make too much accuracy
    loss. Are there any tricks that can help me?

    Thanks a lot!


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