CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
Reseach Article

Method for Image Restoration using Wavelet based Image Fusion

by Arun Kumar Patel, Nitin Muchhal, R. N. Yadav
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 13
Year of Publication: 2012
Authors: Arun Kumar Patel, Nitin Muchhal, R. N. Yadav
10.5120/4881-7317

Arun Kumar Patel, Nitin Muchhal, R. N. Yadav . Method for Image Restoration using Wavelet based Image Fusion. International Journal of Computer Applications. 39, 13 ( February 2012), 18-23. DOI=10.5120/4881-7317

@article{ 10.5120/4881-7317,
author = { Arun Kumar Patel, Nitin Muchhal, R. N. Yadav },
title = { Method for Image Restoration using Wavelet based Image Fusion },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 13 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number13/4881-7317/ },
doi = { 10.5120/4881-7317 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:26:22.738596+05:30
%A Arun Kumar Patel
%A Nitin Muchhal
%A R. N. Yadav
%T Method for Image Restoration using Wavelet based Image Fusion
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 13
%P 18-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the increase demand of better image quality lot of image processing algorithms are designed. In this paper we described a method to remove the motion blur present in the image taken form any cameras. Motion blur is the result of the relative motion between the camera and the scene during image exposure time, this includes both camera and scene objects motion.. The aim of image restoration is to reconstruct or estimate an uncorrupted image by using the degraded version of the same image. [2] The most closely related research can be found in Blind de-convolution, and Wiener filter methods, They adopts regularized iteration to restore the degraded image. This work proposes the implementation of Wiener filter with Image fusion to reduce the computational complexity with better acceptable restoration results of image restoration method.. The performance of the every stage is tabulated for the parameters like SNR and RMSE of the restored images.

References
  1. W. Dong, L. Zhang, G. Shi and X. Wu, “Image deblurring and supper-resolution by adaptive sparse domain selection and adaptive regularization,” in IEEE Trans. on Image Processing, 2011., vol. 20, no. 8, pp. 2378-2386, 2011.
  2. Deepa Li A. Godse Dattatraya S. Bormane” Wavelet Based Image Fusion Using Pixel Based Maximum Selection Rule” International Journal of Engineering Science and Technology (IJEST) Vol. 3 No. 7 July 2011
  3. S. K. Sathpathy, S. Panda, K. K. Nagwanshiand C. Ardil, “Image Restoration in Non-Linear Filtering Domain using MDB approach”, International Journal of SignalProcessing, 2010.
  4. Weisheng Dong, Lei Zhang, Guangming Shi, Xiaolin Wu, “Nonlocal back-projection for adaptive image enlargement,” ICIP 2009.
  5. M.S.Alani, Digital Image Processing using Matlab, University Bookshop, Sharqa, URA, 2008.
  6. M.A.Joshi, Digital Image Processing – An Algorithmic Approach, Professors and Head, Department of Telecommunications, College of Engineering, Pune,Prentice Hall of India Private Limited, New Delhi, 2007.
  7. Youshen Xia, and Mohamed S. Kamel,” Novel Cooperative Neural Fusion Algorithms for Image Restoration and Image Fusion”Feb, 2007.
  8. Zing, J.; Sayedelahl, A.; Gilmore, T.; Chouikha, M,” Review of Image Fusion Algorithms for Unconstrained Outdoor Scenes” Signal Processing, The 8th International Conference on Volume 2, Issue 2006
  9. Marius Tico, Sakari Alenius, and Markku Vehvi- lainen, “Method of motion estimation for image sta- bilization,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, 2006.
  10. Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins, “Digital Image Processing Using MATLAB.” Pearson, Third Edition 2005.
  11. Ajay V. Deshmukh, Vivek Shivhare, “Periodicity Analysis of FMRI data in the Wavelet Domain”, National Communications Conference, 2005 at the Indian Institute of Technology, (IIT) Kharagpur 2005.
  12. Vikramsingh K. Roday, Vikram M. Gadre, Arun N. Chandorkar and Nabar Vidyesh, “Efficient VLSI Implementation of 2-D Discrete Wavelet Transform for JPEG2000 Standard”, Asia and South Pacific International Conference on Embedded SoCs, IISc Bangalore, July 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Image restoration Point Spread Function Motion blur Wirner Filter WT Image Fusion