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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.

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Index Terms

Computer Science
Information Sciences

Keywords

Blind Source Separation Ica Random Matrix Mixing Images Fast Ica