A new side-match finite-state vector quantization using neural networks for image coding

Journal of Visual Communication and Image Representation

Volumn 13, Issue 3, 2002, Pages 335-347

  Huang, Yu Len ^a   Chang, Ruey Feng ^a  

^a NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

Author keywords

MLP; Multilayer feedforward neural network; Multilayer perceptron; SMVQ; Still image coding; Vector quantization

Indexed keywords

ALGORITHMS; BACKPROPAGATION; BIT ERROR RATE; COMPUTATION THEORY; COMPUTER HARDWARE; FEEDFORWARD NEURAL NETWORKS; IMAGE CODING; IMAGE QUALITY; MULTILAYER NEURAL NETWORKS; PREDICTIVE CONTROL SYSTEMS; SIGNAL TO NOISE RATIO; VECTORS;

SIDE-MATCH FINITE-STATE VECTOR QUANTIZATION (SMVQ) TECHNIQUES; STILL IMAGE CODING;

VECTOR QUANTIZATION;

EID: 0036736972     PISSN: 10473203     EISSN: None     Source Type: Journal    
DOI: 10.1006/jvci.2001.0493     Document Type: Article

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