Future of Information and Communication Conference (FICC) 2025
28-29 April 2025
Publication Links
IJACSA
Special Issues
Method for Image Source Separation by Means of Independent Component Analysis: ICA, Maximum Entory Method: MEM, and Wavelet Based Method: WBM
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 11, 2012.
Abstract: Method for image source separation based on Independent Component Analysis: ICA, Maximum Entropy Method: MEM, and Wavelet Based Method: WBM is proposed. Experimental results show that image separation can be done from the combined different images by using the proposed method with an acceptable residual error.
Keywords: Blind separation; image separation; cucktail party effect; ICA; MEM; wavelet analuysis.
Kohei Arai, “Method for Image Source Separation by Means of Independent Component Analysis: ICA, Maximum Entory Method: MEM, and Wavelet Based Method: WBM” International Journal of Advanced Computer Science and Applications(IJACSA), 3(11), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031113
@article{Arai2012,
title = {Method for Image Source Separation by Means of Independent Component Analysis: ICA, Maximum Entory Method: MEM, and Wavelet Based Method: WBM},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.031113},
url = {http://dx.doi.org/10.14569/IJACSA.2012.031113},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {11},
author = {Kohei Arai}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
