DocumentCode :
1693138
Title :
Optimal vector pyramidal and subband decompositions for the coding of multichannel signals
Author :
Tzovaras, Dimitrios ; Strintzis, M.G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Thessaloniki Univ., Greece
fYear :
1996
Firstpage :
85
Lastpage :
88
Abstract :
Filters are determined which achieve optimal construction of multiresolution vector sequences by minimizing the variance of the error signals between successive pyramid levels. A measure of the entropy reduction achieved by the pyramid is in this way maximized. Further, the filters are also determined which minimize the error committed when only the low resolution vector signal is retained from a multi-channel perfect reconstruction vector filter bank. The effect of this is to ensure that the lower-resolution image produced by the primary subband bears maximum resemblance to the input image. In both settings, it is assumed that additive transmission noise corrupts the downsampled signal prior to the synthesis stage. It is seen that under noiseless or lossless transmission conditions, the two above families of optimal analysis and synthesis filters coincide. The results are evaluated experimentally for the vector coding of the DCT coefficients
Keywords :
band-pass filters; channel coding; coding errors; discrete cosine transforms; entropy; filtering theory; image coding; image reconstruction; image resolution; image sequences; transform coding; DCT coefficients; additive transmission noise; downsampled signal; entropy reduction; error signal variance minimization; input image; lossless transmission; low resolution vector signal; multichannel perfect reconstruction vector filter bank; multichannel signal coding; multiresolution vector sequences; noiseless transmission; optimal analysis filters; optimal construction; optimal subband decomposition; optimal synthesis filters; optimal vector pyramidal decomposition; subband decompositions; vector coding; Autocorrelation; Conferences; Convolution; Digital signal processing; Entropy; Filters; Gaussian noise; Interpolation; Signal resolution; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
Type :
conf
DOI :
10.1109/DSPWS.1996.555466
Filename :
555466
Link To Document :
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