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ICETTR-2013
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Paper Title : Implementation of Fast Deblurring Process on Segments of Image by Blind Deconvolution Algorithm
Author Name : Neetin Kumar, Manish Shrivastava
Abstract : The objective of image restoration is a process of reconstruction the primitive scene from degraded image. In this work we have emphasised an idea about the parallel computing for image restoration which is not done yet in literature survey through conventional image restoration approach. In conventional linear image restoration process, the blurring function is given, and the degradation course is improved through one of the many known restoration algorithms. Blind image is a process of deliverance of estimating the primary image from the degraded image by using partial information about the imaging system. And we also apply “row” and “column” method for portioning grey scale image in six parts and individually blurring each part, than we apply blind deconvolution algorithm in each part parallel by creating six tasks. By this approach we obtain deblur image rapidly from highly blur image. The blur point spread function (PSF) is assumed uniform in all parts of gray scale image.
Keywords : Blind Image Deconvolution, Degradation model, ringing effects, Point spread function (PSF), IP algorithm and parallel and distributed computing.
Cite this article : Neetin Kumar, Manish Shrivastava " Implementation of Fast Deblurring Process on Segments of Image by Blind Deconvolution Algorithm " ,ICETTR-2013 ,Page No : 428-431.