Title :
Optimal bit allocation and best-basis selection for wavelet packets and TSVQ
Author :
Goldschneider, Jill R. ; Riskin, Eve A.
Author_Institution :
MathSoft Inc., Seattle, WA, USA
fDate :
9/1/1999 12:00:00 AM
Abstract :
To use wavelet packets for lossy data compression, the following issues must be addressed: quantization of the wavelet subbands, allocation of bits to each subband, and best-basis selection. We present an algorithm for wavelet packets that systematically identifies all bit allocations/best-basis selections on the lower convex hull of the rate-distortion curve. We demonstrate the algorithm on tree-structured vector quantizers used to code image subbands from the wavelet packet decomposition
Keywords :
image coding; optimisation; rate distortion theory; transform coding; tree data structures; vector quantisation; wavelet transforms; TSVQ; best-basis selection; image subband coding; lossy data compression; lower convex hull; optimal bit allocation; rate-distortion curve; tree-structured vector quantizers; wavelet packet decomposition; wavelet subbands quantisation; Acoustic distortion; Bit rate; Data compression; Frequency; Image coding; Information analysis; Rate distortion theory; Rate-distortion; Vector quantization; Wavelet packets;
Journal_Title :
Image Processing, IEEE Transactions on
