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
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