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Image Restoration Algorithms by using Fisher Information  

오춘석 (선문대학교 정보통신공학)
이현민 (선문대학교 정보통신공학)
신승중 (한세대학교 컴퓨터공학)
유영기 (선문대학교 정보통신공학)
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Abstract
An object to reflect or emit light is captured by imaging system as distorted image due to various distortion. It is called image restoration that estimates original object by removing distortion. There are two categories in image restoration method. One is a deterministic method and the other is a stochastic method. In this paper, image restoration using Minimum Fisher Information(MFI), derived from B. Roy Frieden is proposed. In MFI restoration, experimental results to be made according to noise control parameter were investigated. And cross entropy(Kullback-Leibler entropy) was used as a standard measure of restoration accuracy, It is confirmed that restoration results using MFI have various roughness according to noise control parameter.
Keywords
Image Restoration; Fisher Information; Entropy; MFI; Cross Entropy;
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