Title :
Discrete minimum entropy quantization
Author :
Gormish, Michael J. ; Gill, John T.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
9/1/1995 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
