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   -> Volume 6, Issue 11


Preprint: Entropy Coding Techniques for Lossless Image Compression...
 
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Boon-Lock Yeo (yeo@watson.ibm.com)
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PostPosted: Mon Nov 03, 1997 2:59 am    
Subject: Preprint: Entropy Coding Techniques for Lossless Image Compression...
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#9 Preprint: Entropy Coding Techniques for Lossless Image Compression...

Entropy Coding Techniques for Lossless Image Compression with
Reversible Integer Wavelet Transforms

Authors
Nasir Memon, Xiaolin Wu and Boon-Lock Yeo
Reference
RC 21010 (10/22/97)

Abstract The past few years have seen
an increasing interest in using reversible integer wavelets in image
compression. Reversible integer wavelet image coders facilitate
decompression from low bit rates all the way up to lossless
reconstruction. However, in the past, specific implementations of
such techniques, like S+P, could not match the lossless compression
performance of state-of-the-art predictive coding techniques like
CALIC. We demonstrate for the first time that reversible integer
wavelets together with proper context modeling can match the lossless
compression performance of CALIC. This can be done without increase
in complexity over S+P. Our findings present a strong argument for
using subband coding as a unified, elegant approach for both lossy
and lossless image compression. Specifically, in this paper we
outline how to obtain significantly higher coding efficiency over S+P
by utilizing better reversible integer wavelet filters and filters
and better context modeling and entropy coding of wavelet
coefficients.

http://www.watson.ibm.com:8080/main-cgi-bin/search_paper.pl/entry_ids=8735

Boon-Lock Yeo Manager, Visual Computing & Communications
Email : yeo@watson.ibm.com IBM Thomas J. Watson Research Center
Phone : (914) 784-7086 P.O. Box 704
Fax : (914) 784-6307 Yorktown Heights, NY 10598
All times are GMT + 1 Hour
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