Title :
Optimal subband decoding
Author :
Nosratinia, Aria
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Abstract :
This paper addresses the question of optimal subband decoding, given a system of subband analysis filters and a predetermined quantization strategy. Optimal analysis-synthesis pairs are of great interest, but have been characterized only under very strong (and impractical) conditions. Limiting our attention to the decoder, we find optimal synthesis filters by solving a system of regression equations. Neither high-rate quantization, whiteness of the quantization noise, nor optimality of the quantizer is assumed. Optimal coefficients are independent of the internal machinery of the quantizers, and can therefore be used with “canned” software packages. Only knowledge of the analysis filter bank is assumed. Preliminary experiments show modest gains, on the order of 0.1-0.3 dB, by applying this method to one-stage reproduction of natural images from zerotree quantizers
Keywords :
band-pass filters; circuit optimisation; data compression; filtering theory; image coding; image reconstruction; quantisation (signal); signal synthesis; software packages; transform coding; wavelet transforms; analysis filter bank; natural image reproduction; one-stage reproduction; optimal analysis-synthesis pairs; optimal coefficients; optimal subband decoding; optimal synthesis filters; perfect reconstruction filter bank; quantization; quantization noise; regression equations; software packages; subband analysis filters; wavelet zerotree coding algorithm; zerotree quantizers; Cost function; Decoding; Encoding; Equations; Filter bank; Image segmentation; Machinery; Quantization; Software packages; Tree data structures; Wavelet coefficients;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.635669
