DocumentCode :
318190
Title :
Efficient coding of the classification table in low bit rate subband image coding by use of hierarchical enumeration
Author :
Fuldseth, Arild ; Balasingham, Ilangko ; Ramstad, Tor A.
Author_Institution :
Dept. of Telecommun., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
Volume :
2
fYear :
1997
fDate :
26-29 Oct 1997
Firstpage :
649
Abstract :
A new method for lossless coding of the classification table in low bit rate subband image coders with block-wise classification is proposed. The method is referred to as hierarchical enumeration and uses an algorithmic enumeration technique to associate a fixed-length unique binary codeword with each possible combination of integers defining the classification table. The resulting bit rate is less than the first order entropy of the classification table. When using hierarchical enumeration in combination with pyramid vector quantization of the subband samples, a high performance image coder using only fixed-length codewords is obtained. The proposed coder compares favorably with state-of-the art image coders using variable-length coding
Keywords :
entropy; image classification; image coding; image sampling; vector quantisation; algorithmic enumeration; block-wise classification; classification table; decoding; first order entropy; fixed-length unique binary codeword; hierarchical enumeration; high performance image coder; lossless coding; low bit rate subband image coding; pyramid vector quantization; subband samples; variable-length coding; Art; Bit rate; Electronic mail; Entropy; Filter bank; Frequency; Image coding; Signal resolution; Transform coding; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
Type :
conf
DOI :
10.1109/ICIP.1997.638579
Filename :
638579
Link To Document :
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