DocumentCode
3237465
Title
An embedded wavelet hierarchical image coder
Author
Shapiro, Jerome M.
Author_Institution
David Sarnoff Res. Center, Princeton, NJ, USA
Volume
4
fYear
1992
fDate
23-26 Mar 1992
Firstpage
657
Abstract
A simple, yet remarkably effective, image compression algorithm that has the property that the bits in the bit stream are generated in order of importance, yielding fully hierarchical image compression suitable for embedded coding or progressive transmission, is described. Given an image bit stream, the decoder can cease decoding at the same image that would have been encoded at the bit rate corresponding to the truncated bit stream. The compression algorithm is based on three key concepts: (1) wavelet transform or hierarchical subband decomposition, (2) prediction of the absence of significant information across scales by exploiting the self-similarity inherent in images, and (3) hierarchical entropy-coded quantization
Keywords
data compression; image coding; wavelet transforms; embedded wavelet hierarchical image coder; fully hierarchical image compression; hierarchical entropy-coded quantization; hierarchical subband decomposition; image bit stream; image compression algorithm; progressive transmission; self-similarity; truncated bit stream; Bit rate; Compression algorithms; Decoding; Discrete wavelet transforms; Image coding; Image quality; Quantization; Streaming media; Wavelet coefficients; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location
San Francisco, CA
ISSN
1520-6149
Print_ISBN
0-7803-0532-9
Type
conf
DOI
10.1109/ICASSP.1992.226312
Filename
226312
Link To Document