Research on cultural-based multi-objective particle swarm optimization in image compression quality assessment

Quantization is a main factor which affects the performance of the JPEG compression. Compression ratio and the quality of the decoded images are both determined by quantization tables. Appropriate choice of the quantization tables is the key to the Compression performance. To select different optima...

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Bibliographic Details
Published inOptik (Stuttgart) Vol. 124; no. 10; pp. 957 - 961
Main Authors Ma, Huizhu, Zhang, Qiuju
Format Journal Article
LanguageEnglish
Published Elsevier GmbH 01.05.2013
Subjects
Cultural algorithms
Image compression
Multi-objective optimization
Particle swarm optimization
Image compression
Multi-objective optimization
Particle swarm optimization
Cultural algorithms
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Summary:Quantization is a main factor which affects the performance of the JPEG compression. Compression ratio and the quality of the decoded images are both determined by quantization tables. Appropriate choice of the quantization tables is the key to the Compression performance. To select different optimal quantization tables for different classes of images is multi-objective optimal problem. A cultural-based multi-objective particle swarm optimization model is proposed in this paper. And, different trade-offs between image compression and quality is presented. The simulation result shows that the proposed model is effective to the choice of image compression quality.
ISSN:0030-4026
1618-1336
DOI:10.1016/j.ijleo.2012.02.041