Title :
Adaptive wavelet packet basis for entropy-constrained lattice vector quantizer (ECLVQ)
Author :
Kim, Won-Ha ; Hu, Yu-Hen ; Nguyen, Truong
Author_Institution :
Comput. Res. & Appl. Group, Los Alamos Nat. Lab., NM, USA
Abstract :
In this paper, the search algorithm for the best wavelet basis/quantization pair is proposed, while specifying the source coding strategy as entropy-constrained lattice vector quantization (ECLVQ). The presented approach differs from previous works since the wavelet basis found is quasi-optimal but the quantizer set is optimally chosen. In addition, the source coding is extended to quantization plus entropy coding, and the computational complexity is reduced by using the estimation formulas instead of measuring the quantization distortion
Keywords :
computational complexity; entropy codes; image coding; source coding; transform coding; vector quantisation; wavelet transforms; adaptive wavelet packet basis; computational complexity; entropy coding; entropy-constrained lattice vector quantizer; estimation formulas; image coding; optimally chosen quantizer set; quasi-optimal wavelet basis; search algorithm; source coding strategy; Computational complexity; Distortion measurement; Entropy coding; Image coding; Lattices; Pixel; Signal resolution; Source coding; Vector quantization; Wavelet packets;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.647998