Title :
Smart compression using the embedded zerotree wavelet (EZW) algorithm
Author :
Shapiro, Jerome M.
Author_Institution :
David Sarnoff Res. Center, Princeton, NJ, USA
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;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342561