DocumentCode :
2616825
Title :
Optimum design of vector-quantized multiresolution codecs
Author :
Jee, Innho ; Haddad, R.A.
Author_Institution :
Dept. of Electr. Eng., Hongik Univ., Chochiwon, South Korea
Volume :
3
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
415
Abstract :
The wavelet transform has recently emerged as a powerful tool for non-stationary analysis. Its discrete version is closely related to a dyadic filter bank which has been used in image processing. In order to obtain a higher data compression we use vector quantizers. We compute the mean squared reconstruction error (MSE) which depends on N, the number of the entries in each codebook, and k, the length of each codeword (that is, the average bit rate) and on the dyadic filter bank coefficients. We form this MSE measure in terms of the equivalent scalar quantization model and find the optimum FIR filter coefficients for each equivalent channel in the dyadic tree subband structure for a given bit rate, given filter length, and given input signal correlation model. Specific design examples are worked out for 4-tap filter in a 3-stage dyadic paraunitary filter bank structure. Theoretical results are confirmed by extensive Monte Carlo simulation
Keywords :
FIR filters; Monte Carlo methods; band-pass filters; correlation methods; image resolution; transform coding; tree data structures; vector quantisation; video codecs; video coding; wavelet transforms; 3-stage dyadic paraunitary filter bank structure; 4-tap filter; FIR filter coefficients; MSE; Monte Carlo simulation; VQ; data compression; dyadic filter bank coefficients; dyadic tree subband structure; equivalent scalar quantization model; image processing; input signal correlation model; mean squared reconstruction error; optimum design; vector-quantized multiresolution codecs; video coding; wavelet transform; Bit rate; Channel bank filters; Codecs; Data compression; Discrete wavelet transforms; Filter bank; Finite impulse response filter; Image processing; Signal resolution; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.560519
Filename :
560519
Link To Document :
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