Title :
On the optimality of embedded deadzone scalar-quantizers for wavelet-based L-infinite-constrained image coding
Author :
Alecu, Alin ; Munteanu, Adrian ; Cornelis, Jan ; Dewitte, Steven ; Schelkens, Peter
Author_Institution :
Electron. & Inf. Process. Dept., Vrije Univ. Brussel, Brussels, Belgium
fDate :
3/1/2004 12:00:00 AM
Abstract :
In wavelet-based L∞-constrained embedded coding, the bit-stream is truncated at the bit-rate that corresponds to a guaranteed, user-defined distortion bound. The letter analyzes the optimality of embedded deadzone scalar-quantizers for high-rate L∞-constrained scalable wavelet-based image coding. A rate-distortion model applicable to the family of embedded deadzone scalar-quantizers is derived and experimentally validated. Conclusions are drawn regarding the optimal subband-quantizer instantiations. The optimal quantizers are employed in a coding algorithm that retains the coding performance and the flexibility options of wavelet-based codecs while allowing for a fully embedded L∞-oriented bit-stream.
Keywords :
error statistics; image coding; optimisation; rate distortion theory; transform coding; wavelet transforms; L-infinite norm; bit-rate; bit-stream; embedded deadzone scalar-quantizers; optimal subband-quantizer instantiations; rate-distortion model; user-defined distortion bound; wavelet-based L-infinite-constrained image coding; wavelet-based codecs; Codecs; Density functional theory; Entropy; Image analysis; Image coding; Image reconstruction; Pixel; Quantization; Rate-distortion; Wavelet analysis;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2003.822599