DocumentCode
1232932
Title
Discrete minimum entropy quantization
Author
Gormish, Michael J. ; Gill, John T.
Author_Institution
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume
4
Issue
9
fYear
1995
fDate
9/1/1995 12:00:00 AM
Firstpage
1314
Lastpage
1317
Abstract
We present a simple lower bound on the entropy of a quantized signal and a method for determining the minimum entropy quantization, subject to a maximum distortion, for a discrete memoryless random process. This quantization allows more efficient use of variable-order models for compression of images and sound
Keywords
acoustic signal processing; audio signals; data compression; dynamic programming; image coding; minimum entropy methods; quantisation (signal); discrete memoryless random process; discrete minimum entropy quantization; dynamic programming; image compression; lower bound; maximum distortion; quantized signal; sound compression; variable-order models; Annealing; Application software; Distortion measurement; Entropy; Image classification; Labeling; Quantization; Relaxation methods; Testing; Viterbi algorithm;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.413176
Filename
413176
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