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
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Performance Analysis of Filter based on Functional Link Artificial Neural Network

by Suchitra Sarangi, Shubhendu Kumar Sarangi, Sunita Sarangi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 1
Year of Publication: 2014
Authors: Suchitra Sarangi, Shubhendu Kumar Sarangi, Sunita Sarangi
10.5120/16180-5344

Suchitra Sarangi, Shubhendu Kumar Sarangi, Sunita Sarangi . Performance Analysis of Filter based on Functional Link Artificial Neural Network. International Journal of Computer Applications. 93, 1 ( May 2014), 22-27. DOI=10.5120/16180-5344

@article{ 10.5120/16180-5344,
author = { Suchitra Sarangi, Shubhendu Kumar Sarangi, Sunita Sarangi },
title = { Performance Analysis of Filter based on Functional Link Artificial Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 1 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number1/16180-5344/ },
doi = { 10.5120/16180-5344 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:14:41.553325+05:30
%A Suchitra Sarangi
%A Shubhendu Kumar Sarangi
%A Sunita Sarangi
%T Performance Analysis of Filter based on Functional Link Artificial Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 1
%P 22-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image restoration is an important part of image processing. There are several techniques exist for image recovery. This paper presents a functional link artificial neural network based technique for image restoration which has the capacity of reducing the Gaussian noise present in an image. Then a comparison has been carried out between the proposed filter & the other existing filters. Finally, some conclusion & future work lines are presented.

References
  1. Rafael C. Gonzalez and Richard E. Woods, "Digital Image Processing", Pearson Education (Singapore) Pte Ltd, 2004.
  2. Anil K. Jain, "Fundamentals of Digital Image Processing", Prentice Hall of Inc, 1998.
  3. B. Chandra, D. Dutta Majumder, "Digital Image Processing and Analysis", Prentice Hall of India Private Limited, New Delhi 2000.
  4. J. C Patra. , R. N. Pal and B. N. Chatterji, "Identification of non-linear dynamic systems using functional link artificial neural networks," IEEE Trans. on Neural Networks, vol. 29, no. 2, pp. 254-262, 1999.
  5. Y. H . Pao . Adaptive Pattern Recognition and neural networks. Reading . MA addison-Wesley. 1989.
  6. Naira Hovakimyan, Flavio Nardi, Anthony Calise, and Nakwan Kim, "Adaptive output feedback control of uncertain nonlinear systems using single-hidden-layer neural networks," IEEE Trans. on Neural Networks, vol. 13, no. 6, pp. 1420-1431, 2002. .
  7. J. Portilla, V. Strela, M. J. Wainwright, . P. Simoncelli,"Image denoising using scale mixture of Gaussian in the wavelet domain", IEEE Transactions on Image Processing,vol. 12, no. 11 pp. 1338-1351, November 2003
  8. A. B. Hamza, H. Krim,"Image Denoising: A Nonlinear Robust Statistical Approach",IEEE Tranactions on Signal Processing,vol. 49, no. 12,December 2001.
  9. S. Md. M. Roomi, T. Pandy Maheswari, V. A. Kumar,"A Detail Preserving Filter for Impulse Noise Detection and Removal", ICGST-GVIP Journal, Volume 7, Issue 3, November 2007
  10. Z. Long, N. H. Younan,"Denoising Of Images With Multiplicative Noise Corruption",Mississippi State University,Starkville, MS 39759,USA.
  11. C. Kervrann, A. Trubuil," An Adaptive Window Approach For Poisson Noise Reduction And Structure Preserving In Confocal Microscopy",
  12. I. Gallo, E. Binaghi and A. Macchi,"Adaptive Image Restoration Using A Local Neural Approach",Italy.
  13. Jagdish C. Patra, Alex C. Kot,Non-linear Dynamic System Identification Using Chebyshev Functional Link Artificial Neural Networks,IEEE Transaction On Systems,Man and Cyberntics, vol. 32. no. 4 August 2002
  14. J. Astola and P. Kuosmanen,Fundamentals of Non-linear Digital Filtering. Boca Raton, FL:CRC,1997
  15. Guez Allon, James L. Ellbert and Moshe Kam, "Neural networks architecture for control," IEEE Control System magazine, pp. 22-25,1998.
  16. L. Corbalan, G. Osella Massa, C. Russo, L. Lanzarini, A. De Giusti,"image recovery using a new nonlinear adaptive filter based on neural networks," jounral of computing mation technology-cit 14, 2006, 4, pp315-320
  17. A. Sierra, J. A. Macias and F. Corbacho, "Evolution of functional link networks," IEEE Trans. on Evolutionary Computation, vol. 5, no. 1, pp 54-65, 2001
  18. A. K Goel. and S Bhanot, "Modelling of continually stirred tank heater with ANNs using successive over-relaxation backpropagation algorithm," ASCC'02, Proc. of the Asian Control Conf. , (Singapore), pp. 614-617, 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Image restoration noise & its parameters different filters functional link artificial neural network.

Powered by PhDFocusTM