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Author Chen, Wen-Jan ♦ Tai, Shen-Chuan
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Multilevel Block Truncation Coding ♦ Genetic Algorithm Approach ♦ Exhaustive Search ♦ Optimal Quantization ♦ Former Method ♦ Genetic Algorithm ♦ Multilevel Btc Coding ♦ Exhaustive Search Reveal ♦ Multilevel Btc ♦ Reconstructed Image ♦ Average Mean Square Error ♦ Latter Case ♦ Quantization Threshold ♦ New Scheme ♦ Enormous Amount
Abstract 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.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Publisher Date 1999-01-01