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Reseach Article

Restoration of Medical Images using Blind Image Deconvolution based on Ant Colony

by Kritika Sharma, Sheetal Kundra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 16
Year of Publication: 2013
Authors: Kritika Sharma, Sheetal Kundra
10.5120/14661-2957

Kritika Sharma, Sheetal Kundra . Restoration of Medical Images using Blind Image Deconvolution based on Ant Colony. International Journal of Computer Applications. 84, 16 ( December 2013), 24-27. DOI=10.5120/14661-2957

@article{ 10.5120/14661-2957,
author = { Kritika Sharma, Sheetal Kundra },
title = { Restoration of Medical Images using Blind Image Deconvolution based on Ant Colony },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 16 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number16/14661-2957/ },
doi = { 10.5120/14661-2957 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:01:04.851531+05:30
%A Kritika Sharma
%A Sheetal Kundra
%T Restoration of Medical Images using Blind Image Deconvolution based on Ant Colony
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 16
%P 24-27
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image restoration is the process of clearing the degraded image to obtain the original image. The main aim of the work is to restore the blurred X-Ray image using Blind Image Restoration. It is very important part of image restoration to recover image without the knowledge of the reason of its degradation. At first, the original X-Ray image is degraded using the Degradation Model. With the addition of blur we get the blurred X-Ray image. In the edges of the blurred X-Ray image, the ringing effect can be detected using Ant Colony Optimization method and then it can be removed before restoration process. An estimate is done about the unknown degradation function and using that an estimate of the original X-Ray image is produced. Ant colony Optimization (ACO) is a nature inspired optimization algorithm that is motivated by the natural foraging behavior of ant species.

References
  1. Baterina, A. V. and Oppus, C. 2010 "Image Edge Detection Using Ant Colony Optimization", International Journal of Circuits, Systems and Signal Processing, pp. 25-33.
  2. Blum, C. and Merkle, D. 2008 "Swarm Intelligence Introduction and Applications". Springer, pp. 43, 58-60.
  3. Campisi, P. and Egiazarian, K. 2006 "Blind image deconvolution theory and applications", CRC Press.
  4. Cao, D. -D and Guo, P. 2005 "Blind image restoration based on wavelet analysis", IEEE, Machine Learning and Cybernetics, pp. 4977-4982.
  5. Corbalan, L. ; Massa, G. O. ; Russo, C. ; Lanzarini, L. and De Giusti, A. 2006 "Image recovery using a new nonlinear adaptive filter based on neural networks", IEEE, Information Technology Interfaces, pp. 355-60.
  6. Kaur, A. and Chopra, V. 2012 "A Comparative Study and Analysis of Image Restoration Techniques Using Different Images Formats", International Journal for Science and Emerging Technologies with Latest Trends, pp. 7-14.
  7. Kaur, A. and Chopra, V. 2012 "Blind Image Deconvolution Technique for Image Restoration using Ant Colony Optimization", International Journal of Computer Applications & Information Technology, pp. 55-59.
  8. Kundur, D. and Hatzinakos, D. 1998 "A novel blind deconvolution scheme for image restoration using recursive filtering", IEEE Trans. on Signal Processing, vol. 46, no. 2, pp. 375-390.
  9. Kundur, D. and Hatzinakos, D. 1996 "Blind image Deconvolution," IEEE Signal Processing Magazine, pp. 43-64.
  10. Ramya, S. and Mercy Christial, T. 2011 "Restoration of Blurred Images using Blind Deconvolution Algorithm," IEEE, on Emerging Trends in Electrical and Computer Technology (ICETECT), pp. 496-499.
  11. Tian, J. ; Yu, W. and Xie, S. , 2008 "An Ant Colony Optimization Algorithm for Image Edge Detection", IEEE Congress on Evolutionary Computation, pp. 751-756.
  12. Yap, K. -H. and Guan, L. 2003 "A computational reinforced learning scheme to blind image deconvolution", IEEE Signal Processing, vol. 51, no. 2, pp. 515-526.
  13. Yap, K. -H. , Guan, L. and Liu, W. 2002 "A recursive soft decision approach to blind image deconvolution," IEEE Trans. on Transactions on Evolutionary Computation, vol. 6, no. 1, pp. 2-15.
  14. Zhao, Z. and Blahut, R. E. 2005 "Blind and nonblind nonnegative impulse response ISI channel demodulation using the Richardson-Lucy Algorithm", IEEE, Signal Processing and Information Technology, pp. 445-450.
  15. Zhong, C; Fu, J. and Ding, Y. 2011 "Image motion compensation for a certain aviation camera based on Lucy Richardson Algorithm", IEEE, Electronics and Optoelectronics, pp. 41-144.
Index Terms

Computer Science
Information Sciences

Keywords

Blind Image Deconvolution Ant Colony Optimization X-Ray Images MSE PSNR.