A Genetic Algorithm Approach to Multilevel Block Truncation Coding (Special Section on Digital Signal Processing)

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概要

• 論文の詳細を見る

• In this paper, a new scheme for designing multilevel BTC coding is proposed. Optimal quantization can be obtained by selecting the quantization threshold with an exhaustive search. However, this requires an enormous amount of computation and is, thus impractical when we consider an exhaustive search for the multilevel BTC. In order to find a better threshold so that the average mean square error between the original and reconstructed images is a minimum, the genetic algorithm is applied. Comparison of the results of the proposed method with the exhaustive search reveal that the former method can almost achieve optimal quantization with much less computation than that required in the latter case.

• 社団法人電子情報通信学会の論文
• 1999-08-25

著者

• CHEN Wen-Jan

  Department of Electrical Engineering, National Cheng Kung University

• Chen Wen-jan

  Department Of Computer Science And Information Engineering Da-yeh University

• Chen Wen-jan

  Department Of Electrical Engineering National Cheng Kung University

• TAN Shen-Chuan

  Department of Electrical Engineering, National Cheng Kung University

• Tan Shen-chuan

  Department Of Electrical Engineering National Cheng Kung University

関連論文

• Two-Level Quantizer Design Using Genetic Algorithm
• Extraction of Line Feature in Binary Images
• A Genetic Algorithm Approach to Multilevel Block Truncation Coding (Special Section on Digital Signal Processing)

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