Image Preprocessing for Compression: Attribute Filtering
نویسنده
چکیده
This work proposes a preprocessing method for image compression based on attribute filtering. This method is completely shape preserving and computationally cheap. Three filters were investigated, including one derived from the power filter of Evans and Young that removes even more perceptually unimportant information. The results from 22 images that were processed in various ways and compressed using the popular compression algorithms of Jpeg, Jpeg2000 and LZW are presented. Our experiments have shown that all the filters cause an improvement of as much as 11, 10 and 20% for jpeg, jpeg2000 and LZW algorithms respectively.
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