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Image Restoration using Higher Order Statistics

Published on January 2013 by Ajitha. R. S
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Amrita International Conference of Women in Computing - 2013
Foundation of Computer Science USA
AICWIC - Number 4
January 2013
Authors: Ajitha. R. S
e101869d-01f7-4281-8c52-ed016bb28bf2

Ajitha. R. S . Image Restoration using Higher Order Statistics. Amrita International Conference of Women in Computing - 2013. AICWIC, 4 (January 2013), 29-31.

@article{
author = { Ajitha. R. S },
title = { Image Restoration using Higher Order Statistics },
journal = { Amrita International Conference of Women in Computing - 2013 },
issue_date = { January 2013 },
volume = { AICWIC },
number = { 4 },
month = { January },
year = { 2013 },
issn = 0975-8887,
pages = { 29-31 },
numpages = 3,
url = { /proceedings/aicwic/number4/9886-1328/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Amrita International Conference of Women in Computing - 2013
%A Ajitha. R. S
%T Image Restoration using Higher Order Statistics
%J Amrita International Conference of Women in Computing - 2013
%@ 0975-8887
%V AICWIC
%N 4
%P 29-31
%D 2013
%I International Journal of Computer Applications
Abstract

Most of the techniques for image restoration are based on some known degradation models. But in many situations it is difficult to accurately measure the degradation factors or noise type that is the real motivation behind the use of blind deconvolution technique for image restoration. Here the observed degraded image is restored without having any prior knowledge about the noise type. Most of the existing blind deconvolution methods for images apply for the restoration of grey scale images. In this paper a blind deconvolution technique using higher order statistics is applied for colour image restoration. Selective filtering is repeatedly applied for better results.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Blind Deconvolution Higher Order Statistics