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                                       Details for article 2 of 12 found articles
 
 
  A Fast VQ Codebook Generation Algorithm Based on Otsu Histogram Threshold
 
 
Title: A Fast VQ Codebook Generation Algorithm Based on Otsu Histogram Threshold
Author: Huang, Chang-Chin
Tsai, Du-Shiau
Horng, Gwoboa
Appeared in: Fundamenta informaticae
Paging: Volume 91 (2009) nr. 3-4 pages 563-579
Year: 2009-05-28
Contents: In vector quantization, the codebook generation problem can be formulated as a classification problem of dividing N_{p} training vectors into N_{c} clusters, where N_{p} is the training size of input vectors and N_{c} is the codeword size of codebook. For large N_{p} and N_{c}, a traditional search algorithmsuch as the LBG method can hardly find the global optimal classification and needs a great deal of calculation. In this paper, a novel VQ codebook generation method based on Otsu histogram threshold is proposed. The computational complexity of squared Euclidean distance can be reduced to O(N_{p} log_{2} N_{c}) for a codebook with gray levels. Our method provides better image quality than recent proposed schemes in high compression ratio. The experimental results and the comparisons show that this method can not only reduce the computational complexity of squared Euclidean distance but also find better codewords to improve the quality of the resulted VQ codebook.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 12 found articles
 
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