DocumentCode :
3266264
Title :
Elements of adaptive wavelet image compression
Author :
Forkert, Richard D.
Author_Institution :
Image Processing Res. Lab., Mitre Corp., Bedford, MA, USA
fYear :
1996
fDate :
Mar/Apr 1996
Firstpage :
435
Abstract :
The adaptive wavelet image compression (AWIC) algorithm is a fast, simple wavelet-based image compression technique that follows the classical paradigm of image transformation, quantization, and entropy encoding. A key component of AWIC is a technique of channel symbol definition that provides greatly reduced Huffman table encoding costs, allowing optimal Huffman codewords to be generated and used for each level of the wavelet transformed image. Further optimizations for compression performance were achieved through empirical studies
Keywords :
Huffman codes; adaptive codes; data compression; entropy codes; image coding; optimisation; transform coding; wavelet transforms; AWIC; Huffman table encoding costs; adaptive wavelet image compression; channel symbol definition; compression performance; entropy encoding; image transformation; optimal Huffman codewords; quantization; wavelet transformed image; Cost function; Decoding; Entropy; Image coding; Image processing; Laboratories; Quantization; Statistics; Streaming media; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 1996. DCC '96. Proceedings
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
0-8186-7358-3
Type :
conf
DOI :
10.1109/DCC.1996.488367
Filename :
488367
Link To Document :
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