文章基本信息

标题：An Adaptive Approach of Decomposition and Restoration of Single Blur Image Using Blind Deconvolution
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作者：Prof. Neeraj Bhargava ; Surbhi Sharma ; Sammah Rasheed 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：4
页码：7954
DOI：10.15680/IJIRCCE.2017.05040258
出版社：S&S Publications
摘要：Observed images of a scene are usually degraded by blurring due to atmospheric turbulence andinappropriate camera settings. The images are further degraded by the various noises present in the environment andthe system. Therefore it is essential to get a sharp clean image from the noisy blurred image. In digital imaging,blurring is a bandwidth reduction of the image due to imperfect image construction process which gives poor imagequality. Some blurring always arises in the recording of a digital image. Along with these blurring effects, noise alwayscorrupts any recorded image. Reconstructing process is divided into two categories, first is nonblind in which theblurring function is given and the degradation process is inverted using one of the restoration algorithms and secondblind where blurring operator is not known. Deconvolution using blind method is very complex process where imagerecovery is performed with little or no prior knowledge of the degrading PSF. The PSF represent the impulse responseof a point source.In this paper Blind Deconvolution method has been implemented to deblur a single image. PSNR and MSE value hasbeen calculated.
关键词：Blind Deconvolution; Image; Noise. PSNR; MSE