1 February 1999 Genetic entropy-constrained vector quantizer design algorithm
Wen-Jyi Hwang, Sheng-Lin Hong
Author Affiliations +
A novel variable-rate vector quantizer (VQ) design algorithm, which is a hybrid approach combining a genetic algorithm with the entropy-constrained VQ (ECVQ) algorithm is presented. The proposed technique outperforms the ECVQ algorithm in the sense that it reaches a nearby global optimum rather than a local one. Simulation results show that, when applied to image coding, the technique achieves higher peak SNR (PSNR) and image quality than techniques using the ECVQ algorithm.
Wen-Jyi Hwang and Sheng-Lin Hong "Genetic entropy-constrained vector quantizer design algorithm," Optical Engineering 38(2), (1 February 1999). https://doi.org/10.1117/1.602081
Published: 1 February 1999
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Cited by 12 scholarly publications.
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KEYWORDS
Genetics

Image compression

Computer programming

Genetic algorithms

Optical engineering

Binary data

Computer simulations

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