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Optical Engineering

Enhancement of an image compression algorithm by pre- and post-filtering
Author(s): Ofer Hadar; Adrian Stern; Raz Koresh
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Paper Abstract

We present an algorithm that improves the overall performance of compression algorithms by applying low-pass filtering before the compression process and inverse filtering after decompression. Prefiltering images prior to encoding removes high spatial frequencies from the original image, thus increasing the compression ratio of the encoder. The image degradation caused by the filter together with the nonlinear transformation of a typical compression algorithm reduces the entropy of the original image, thus increasing the compression ratio. In addition to improving the compression ratio, the suggested scheme reduces the blocking effect that is common to block-based compression algorithms, such as the Joint Picture Experts Group (JPEG).

Paper Details

Date Published: 1 February 2001
PDF: 7 pages
Opt. Eng. 40(2) doi: 10.1117/1.1339203
Published in: Optical Engineering Volume 40, Issue 2
Show Author Affiliations
Ofer Hadar, Ben-Gurion Univ. of the Negev (Israel)
Adrian Stern, Ben-Gurion Univ. of the Negev (Israel)
Raz Koresh, Ben-Gurion Univ. of the Negev (Israel)


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