DocumentCode
2254925
Title
Smart compression using the embedded zerotree wavelet (EZW) algorithm
Author
Shapiro, Jerome M.
Author_Institution
David Sarnoff Res. Center, Princeton, NJ, USA
fYear
1993
fDate
1-3 Nov 1993
Firstpage
486
Abstract
The embedded zerotree wavelet (EZW) algorithm has proven to be an extremely efficient and flexible compression algorithm for low bit rate image coding. The embedding algorithm attempts to order the bits in the bit stream in numerical importance and thus, a given code contains all lower rate encodings of the same algorithm. Thus, precise bit rate control is achievable and a target rate or distortion metric can be met exactly. Additional, the technique is fully image adaptive, does not even need to know the dynamic range of the numbers being compressed. Because of the embedding and adaptivity features of EZW, judicious pre-processing at the encoder and the corresponding inverse post-processing at the decoder can be used to convert the numerical optimization used in EZW to other criteria such as a subjective one or one which favors critical regions as illustrated by an application called “smart compression”
Keywords
adaptive codes; adaptive decoding; data compression; image coding; wavelet transforms; EZW algorithm; bit stream; critical regions; decoder; distortion metric; embedded zerotree wavelet algorithm; encoder; image adaptive; inverse post-processing; low bit rate image coding; lower rate encodings; numerical optimization; pre-processing; precise bit rate control; smart compression; target rate; Bit rate; Compression algorithms; Decoding; Dynamic range; Encoding; Frequency; Function approximation; Image coding; Image converters; Rate distortion theory; Streaming media; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-4120-7
Type
conf
DOI
10.1109/ACSSC.1993.342561
Filename
342561
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