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Novel Approach to Estimate Motion Blur Kernel Parameters and Comparative Study of Restoration Techniques

by Kishore R. Bhagat, Puran Gour
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 17
Year of Publication: 2013
Authors: Kishore R. Bhagat, Puran Gour
10.5120/12634-9228

Kishore R. Bhagat, Puran Gour . Novel Approach to Estimate Motion Blur Kernel Parameters and Comparative Study of Restoration Techniques. International Journal of Computer Applications. 72, 17 ( June 2013), 21-26. DOI=10.5120/12634-9228

@article{ 10.5120/12634-9228,
author = { Kishore R. Bhagat, Puran Gour },
title = { Novel Approach to Estimate Motion Blur Kernel Parameters and Comparative Study of Restoration Techniques },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 17 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number17/12634-9228/ },
doi = { 10.5120/12634-9228 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:10.307939+05:30
%A Kishore R. Bhagat
%A Puran Gour
%T Novel Approach to Estimate Motion Blur Kernel Parameters and Comparative Study of Restoration Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 17
%P 21-26
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Motion blur occurs due to the fact,that during exposure time there is movement of object or camera or both. Removing of blur is always challenging for image processing field because one has to estimate the motion blur which can spatially differ over image. Motion blur is simply an undesired effect. Restoration of blur image is very important in many of the cases like identification of criminal face in blurred image. In restoration of motion blur the knowledge of the point spread function (PSF) plays a vital role. This paper present a novel approach towards estimation of parameters like motion blur angle and the motion blur length which defines the PSF. Both of these parameters are used to restore the blurred image. Furthermore paper discusses the comparative study of different restoration techniques. The experimental result shows estimated blur angle and blur length are very close to theoretical value and the blur images with natural and artificial noise are successfully restored.

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Index Terms

Computer Science
Information Sciences

Keywords

Image restoration Image fusion PSF Spectrum Wiener

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