DocumentCode :
1489427
Title :
Regularized subband coding scheme
Author :
Prost, R. ; Yi Ding ; Baskurt, A. ; Benoit-Cattin, H.
Author_Institution :
Res. Unit, CNRS, Villeurbanne
Volume :
8
Issue :
4
fYear :
1999
fDate :
4/1/1999 12:00:00 AM
Firstpage :
564
Lastpage :
570
Abstract :
Two enhanced subband coding schemes using a regularized image restoration technique are proposed: the first controls the global regularity of the decompressed image; the second extends the first approach at each decomposition level. The quantization scheme incorporates scalar quantization (SQ) and pyramidal lattice vector quantization (VQ) with both optimal bit and quantizer allocation. Experimental results show that both the block effect due to VQ and the quantization noise are significantly reduced
Keywords :
image coding; image restoration; vector quantisation; VQ; block effect; decompressed image; global regularity; image coding; optimal bit allocation; optimal quantizer allocation; pyramidal lattice vector quantization; quantization noise; regularized image restoration; scalar quantization; subband coding scheme; Bit rate; Filtering; Filters; Frequency; Image coding; Image reconstruction; Image restoration; Lattices; Noise reduction; Vector quantization;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.753743
Filename :
753743
Link To Document :
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