Estimation of 2-D Noncausal AR Parameters for Image Restoration Using Genetic Algorithm(Special Section on Digital Signal Processing)
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概要
- 論文の詳細を見る
Image restoration using estimated parameters of image model and noise statistics is presented. The image is modeled as the output of a 2-D noncausal autoregressive(NCAR) model. The parameter estimation process is done by using the autocorrelation function and a biased term to a conventional least-squares(LS) method for the noncausal modeling. It is shown that the proposed method gives better results than the other parameter estimation methods which ignore the presence of the noise, in the observation data. An appropriate image model selection process is also presented. A genetic algorithm(GA) for solving a multiobjective function with single constraint is discussed.
- 社団法人電子情報通信学会の論文
- 1998-08-25
著者
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Mollah M
Chiba Univ. Chiba‐shi Jpn
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Yahagi Takashi
Graduate School Of Science And Technology Chiba University
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Yahagi Takashi
Graduate School Of Advanced Integration Science Chiba University
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MOLLAH Md.Mohsin
Graduate School of Science and Technology, Chiba University
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