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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 4, ISSUE 12, DECEMBER 2015

A Survey on Hybrid Algorithm for Image Deblurring Techniques

Chandra Prakash Prabhakar, Mrs. Kiran Dewangan

DOI: 10.17148/IJARCCE.2015.41284

Abstract: This paper concern on image deblurring has a major impact in Digital Image processing, but the main drawback in digital image is presence of noise and degradation during the camera shack, long exposure time, movement of object, and not focus the target. Image deblurring and restoration is very important and necessary in digital image process avoid the blur. Image deblurring is a technique which is used tomake picture sharp and useful by using mathematical model. Blur found in the digital image can be two types blind convolution and non-blindde convolution, that need the estimation of point spread function (PSF) to recover the blur.There have been many methods that were proposed in this paper we studied various image deblurring method and hybridization of the two methods for better resolution.



Keywords: image deblur, blur, PSF, degradation model, motion blur, blind deconvolution.

How to Cite:

[1] Chandra Prakash Prabhakar, Mrs. Kiran Dewangan, “A Survey on Hybrid Algorithm for Image Deblurring Techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.41284