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Image Blind Signal Separation Algorithm based on Fast ICA

Published on August 2012 by Ajit B. Pande, Shashi Prabha
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International Conference on Advances in Communication and Computing Technologies 2012
Foundation of Computer Science USA
ICACACT - Number 3
August 2012
Authors: Ajit B. Pande, Shashi Prabha
3b411589-4f5d-47c4-9361-2a9ebbf6a4b3

Ajit B. Pande, Shashi Prabha . Image Blind Signal Separation Algorithm based on Fast ICA. International Conference on Advances in Communication and Computing Technologies 2012. ICACACT, 3 (August 2012), 21-24.

@article{
author = { Ajit B. Pande, Shashi Prabha },
title = { Image Blind Signal Separation Algorithm based on Fast ICA },
journal = { International Conference on Advances in Communication and Computing Technologies 2012 },
issue_date = { August 2012 },
volume = { ICACACT },
number = { 3 },
month = { August },
year = { 2012 },
issn = 0975-8887,
pages = { 21-24 },
numpages = 4,
url = { /proceedings/icacact/number3/7983-1019/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Communication and Computing Technologies 2012
%A Ajit B. Pande
%A Shashi Prabha
%T Image Blind Signal Separation Algorithm based on Fast ICA
%J International Conference on Advances in Communication and Computing Technologies 2012
%@ 0975-8887
%V ICACACT
%N 3
%P 21-24
%D 2012
%I International Journal of Computer Applications
Abstract

The independent component analysis (ICA) algorithm and ICA basic model were studied in detail in this paper. Here mainly discussed the mathematical theory of ICA and FastICA algorithm of the most widely used at home and abroad. Then , carried out simulation in blind sources process of the mixing images. Through simulation of three color images (640*480) mixed by a 3*3 random matrix, and using the Fast ICA separation algorithm, realized the mixed blind source separation. The simulation experiment results show that the FastICA algorithm can gain a good approach effect, and the separation image is basically consistent with the original image.

References
  1. Guan weihua, Li lifu, Lin yongman, "Underdetermined Blind Separation Algorithm Base d on Subtractive Clustering", AISS: Advances in Information Sciences and Service Sciences, Vol. 3, No. 7, pp. 75- 81, 2011.
  2. Chengfan LI, Jingyuan YIN, Junjuan ZHAO, Feiyue YE, "Detection and Compensation of Shadows based on ICA Algorithm in Remote No. 7, pp. 46-54, 2011. Sensing Image", IJACT : International Journal of Advancements in Computing Technology, Vol. 3
  3. Wang Lei, "Research of BSS Method Based on ICA", Lanzhou university of technology, 2010.
  4. Bi Yang, "Research and Application of BSS Algorithm Based on Fast ICA", Xian university of science and technology, 2007.
  5. Huang Liyan, Gao Qiang, Kang Haiyan, Zhao Zhenbing, Xu Yixi, "Improved Fast ICA algorithm", Journal of North China Electric Power Univenity, Vol. 5, pp. 59-60, 2006.
  6. Yang F. S. , Hong B. , " Theory and application of independent component analysis", Beijing: tsinghua university press, (2006).
  7. Cao Huirong, Zhang Baolei, Ma Li, "The Separation of Mixed Images Based on Fast ICA Algorithm", Computer Study, Vol. 1, pp. 45, 2004.
  8. Hyvarinen A. , et al. "Independent component analysis", John Wiley and Sons, (2001).
  9. ARIE Y, "Blind sour ce separation via the second characteristic function", Signal Processing, Vol. 80, pp. 897-902, 2000.
  10. Hyvarinen A. , Oja E. , " Independent component analysis: algorithm and application", Neural Network, 13(4-5), 411-430, (2000).
  11. Comon P, "Independent Component Analysis a New Concept", Signal Processing, Vol. 36, pp. 287-314, 1994.
  12. Jutten C, Herault J, "Space or time adaptive signal processing by neural network models", Intern. Conf . on Neural Network for Computing, Snowbird (Utah ,USA), pp. 206-211, 1986.
Index Terms

Computer Science
Information Sciences

Keywords

Blind Source Separation Ica Random Matrix Mixing Images Fast Ica