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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
10.5120/ijca2016911623

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 = { https://ijcaonline.org/archives/volume150/number12/26148-2016911623/ },
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
Abstract

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.

References
  1. Er.Jyoti Rani, Er.Sarabjeet Kaur.Volume 4, Issue 1, January 2014.International Journal of Advanced Research in Computer Science and Software Engineering,.
  2. Er. Priya Tiwari, Dr. Naveen Dhillon and Er. Kuldeep Sharma.Vol.3, no. 4, 1.July 2013.Analysis of Image Restoration Techniques for Developing Better Restoration Method.
  3. Birwa Raja Mohapatra, Ansuman Mishra, Sarah KumarRout.Vol.2,No.3, March 2014.A Comprehensive Review on Image Restoration Techniques.
  4. Mathri thakur, Shilpa Chadury.Volume 14 Number 4 – Aug 2014.Image Restoration Based On Deconvolution by Richardson Lucy Algorithm. International Journal of Engineering Trends and Technology (IJETT).
  5. R.Pushpavalli1 and G.Sivarajde2.Vol.4, No.2, April 2013.A hybrid filtering technique for eliminating uniform noise and impulse noise in digital image.Signal & Image Processing. An International Journal (SIPIJ)
  6. . Giacomo Boracchi and Alessandro Foi. Vol. 21, no. 8, August 2012. Modelingthe Performance of Image Restoration from Motion Blur. IEEE Transaction on image processing.
  7. Ryo Nakagaki, Member, IEEE, and Aggelos K. Katsaggelos, Fellow. vol no. 9, September 2003 .A VQ-Based Blind Image Restoration Algorithm, IEEE transaction on image processing.
  8. Dr.P.Subashini Associate Professor. 2221-0741 Vol. 1, No. 6, 277-282, 2011.Image Deblurring Using Back Propagation Neural Network.World of Computer Science and Information Technology Journal (WCSIT) ISSN.
  9. . Neeraj Kumar, Rahul Nallamothu, Amit Sethi.september 2012 Neural Network Based Image Deblurring. neural network application in electrical engineering.
  10. . S.K. Satpathy, S.K. Nayak, K. K. Nagwanshi, S. Panda, C. Ardil. Vol:4 No:1, 2010. An Adaptive Model for Blind Image Restoration using Bayesian Approach. International Journal of Electrical, Robotics, Electronics and Communications Engineering
  11. . S. P. K. Dutta and N. C. Roy, vol. 47, no. 4, 1998.A Blind- Deconvolution Approach for Chromatographic and Spectroscopic Peak Restoration. IEEE Transactions on Instrumentation and Measurement
  12. A.M.Raid1, W.M.Khedr2, M.A.El-dosuky1 and Mona Aoud1.Vol. 4, No.3, June 2014. Image restoration based on morphological operations. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
  13. Nachtegeal, Waken. karre, E.E.2005. IEEE Explore Fuzzy filters of noise reduction .The case of Gaussian noise.
Index Terms

Computer Science
Information Sciences

Keywords

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