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Reseach Article

Comparative Study and Qualitative-Quantitative Investigations of Several Motion Deblurring Algorithms

Published on None 2011 by Ashwini M. Deshpande, Suprava Patnaik
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET - Number 2
None 2011
Authors: Ashwini M. Deshpande, Suprava Patnaik
a6ff6bdb-4469-427e-85ad-6775e5a33a87

Ashwini M. Deshpande, Suprava Patnaik . Comparative Study and Qualitative-Quantitative Investigations of Several Motion Deblurring Algorithms. International Conference and Workshop on Emerging Trends in Technology. ICWET, 2 (None 2011), 27-34.

@article{
author = { Ashwini M. Deshpande, Suprava Patnaik },
title = { Comparative Study and Qualitative-Quantitative Investigations of Several Motion Deblurring Algorithms },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { None 2011 },
volume = { ICWET },
number = { 2 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 27-34 },
numpages = 8,
url = { /proceedings/icwet/number2/2069-aca368/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A Ashwini M. Deshpande
%A Suprava Patnaik
%T Comparative Study and Qualitative-Quantitative Investigations of Several Motion Deblurring Algorithms
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET
%N 2
%P 27-34
%D 2011
%I International Journal of Computer Applications
Abstract

Motion blur caused by relative motion between the camera and the object being captured is an everyday situation that deteriorates the quality of the images largely. Even a photograph captured in low light conditions or that of a fast moving object undergo motion blur and cause significant degradation of the image and demands for deblurring the same to reconstruct the original image. The paper addresses this commonly encountered problem and carries out a thorough experimental investigation of several non-blind and blind motion deblurring algorithms. Both qualitative and quantitative assessment based on popular performance metrics viz., peak signal-to-noise ratio (PSNR) and mean squared error (MSE) is performed. Through this comparative analysis the properties and limitations of these deblurring algorithms are explored and verified.

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Index Terms

Computer Science
Information Sciences

Keywords

Deblurring Deconvolution Motion blur Point Spread function Gaussian noise