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Reseach Article

A Brief Review on Image Restoration Techniques

by Shilpa Rani, Sonika Jindal, Bhavneet Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Number 12
Year of Publication: 2016
Authors: Shilpa Rani, Sonika Jindal, Bhavneet Kaur

Shilpa Rani, Sonika Jindal, Bhavneet Kaur . A Brief Review on Image Restoration Techniques. International Journal of Computer Applications. 150, 12 ( Sep 2016), 30-33. DOI=10.5120/ijca2016911623

@article{ 10.5120/ijca2016911623,
author = { Shilpa Rani, Sonika Jindal, Bhavneet Kaur },
title = { A Brief Review on Image Restoration Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 150 },
number = { 12 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016911623 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:55:49.441659+05:30
%A Shilpa Rani
%A Sonika Jindal
%A Bhavneet Kaur
%T A Brief Review on Image Restoration Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 150
%N 12
%P 30-33
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

Image restoration is process of recovering the original image by removing noise and blur from image. Image blur is difficult to avoid in many situations like photography, to remove motion blur caused by camera shake, radar imaging to remove the effect of image system response, etc. Image noise is unwanted signal which comes in image from sensor such as thermal or electrical signal and Environmental condition such as rain, snow etc. Researchers have proposed many methods in this regard and in this paper we will examine and discuss different noise and blur models and restoration methods.

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Index Terms

Computer Science
Information Sciences


Degradation model image noise and blur model restoration techniques point spread function (PSF) peak signal to noise Ratio (PSNR).