The Community for Technology Leaders
RSS Icon
Subscribe
Snowbird, UT, USA
March 28, 1995 to March 30, 1995
ISBN: 0-8186-7012-6
pp: 252
C.F. Barnes , Georgia Tech. Res. Inst., Atlanta, GA, USA
J.P. Watkins , Georgia Tech. Res. Inst., Atlanta, GA, USA
ABSTRACT
One of the more effective data compression systems that has been recently proposed is the relatively simple embedded wavelet image coder developed by J.M. Shapiro (1994). Two key components of Shapiro's system are the use of zerotrees to keep track of insignificant subband coefficients and progressive transmission of successive bit planes of significant coefficients. Shapiro's quantization mechanism is the use of scaled successive approximation uniform scalar quantizers. This paper investigates ways of improving the performance of embedded wavelet coders with the use of optimized successive approximation direct sum quantization structures.
INDEX TERMS
encoding; vector quantisation; wavelet transforms; embedded wavelet zerotree coding; direct sum quantization structures; embedded wavelet image coder; subband coefficients; successive bit planes; quantization mechanism;scaled successive approximation uniform scalar quantizers; performance
CITATION
C.F. Barnes, J.P. Watkins, "Embedded wavelet zerotree coding with direct sum quantization structures", DCC, 1995, Proceedings DCC '95 Data Compression Conference, Proceedings DCC '95 Data Compression Conference 1995, pp. 252, doi:10.1109/DCC.1995.515515
13 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool