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