DocumentCode :
3383967
Title :
On the optimality of embedded deadzone scalar-quantizers for wavelet-based L-infinite-constrained image coding
Author :
Alecu, Alin ; Munteanu, Adrian ; Schelkens, Peter ; Cornelis, Jan ; Dewitte, Steven
Author_Institution :
Dept. of Electron. & Inf. Process., Vrije Univ. Brussel, Brussels, Belgium
fYear :
2003
fDate :
25-27 March 2003
Firstpage :
413
Abstract :
Summary form only given. Several methods for L-distortion constrained compression have been proposed that target a set of fixed reconstruction-error bounds. Recently, a wavelet-based L-constrained embedded image-coding technique was proposed that guarantees the required distortion bound while retaining the coding performance and scalability option state-of-the-art wavelet-based L-oriented codecs. The optimality of embedded deadzone scalar-quantizers for high-rate L-constrained scalable wavelet-based coding of images was analyzed. The optimal quantizers were employed in a coding algorithm that outperforms embedded L-oriented wavelet-coders in terms of maximum absolute error. The algorithm was briefly described and coding results were provided.
Keywords :
codecs; data compression; embedded systems; error correction; image coding; rate distortion theory; transform coding; wavelet transforms; L-infinite-constrained image coding; L-distortion constrained compression; coding algorithm; coding performance; constrained compression; embedded deadzone; maximum absolute error; optimal quantizer; optimality; scalability option; scalar-quantizers; wavelet-based L-infinite-oriented codec; wavelet-based image coding; Codecs; Image analysis; Image coding; Image reconstruction; Information processing; Meteorology; Rate-distortion; Scalability; Upper bound; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2003. Proceedings. DCC 2003
ISSN :
1068-0314
Print_ISBN :
0-7695-1896-6
Type :
conf
DOI :
10.1109/DCC.2003.1194032
Filename :
1194032
Link To Document :
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