article · SHILAP Revista de lepidopterología · 2013

Vector Quantization Codebook Design and Application Based on the Clonal Selection Algorithm

Mengling Zhao, Hongwei Liu

Cited by 2Open access

Abstract

In the area of digital image compression, the vector quantization algorithm is a simple, effective and attractive method. After the introduction of the basic principle of the vector quantization and the classical algorithm for vector quantization codebook design, the paper, based on manifold distance, presents a clonal selection code book design method, using disintegrating method to produce initial code book and then to obtain the final code book through optimization with the clonal selection cluster method based on the manifold distance. Through experiment, based on manifold distance, compared the clonal selection codebook design algorithm (MDCSA) with the hereditary codebook design algorithm and LBG algorithm. According to the result of the experiment, MDCSA is more suitable for the evolution algorithm of the image compression.\n

Cite this paper

APA 7

Zhao, M., & Liu, H. (2013). Vector Quantization Codebook Design and Application Based on the Clonal Selection Algorithm. SHILAP Revista de lepidopterología.

MLA 9

Zhao, Mengling, and Hongwei Liu. “Vector Quantization Codebook Design and Application Based on the Clonal Selection Algorithm.” SHILAP Revista de lepidopterología, 2013.

Chicago

Zhao, Mengling, and Hongwei Liu. 2013. “Vector Quantization Codebook Design and Application Based on the Clonal Selection Algorithm.” SHILAP Revista de lepidopterología.

Harvard

Zhao, M. and Liu, H. (2013) ‘Vector Quantization Codebook Design and Application Based on the Clonal Selection Algorithm’, SHILAP Revista de lepidopterología.

BibTeX

@article{zhao2013vector,
  title = {{Vector Quantization Codebook Design and Application Based on the Clonal Selection Algorithm}},
  author = {Zhao, Mengling and Liu, Hongwei},
  journal = {SHILAP Revista de lepidopterología},
  year = {2013}
}

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