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Research Article | Open Access |

Method for Image Source Separation by Means of Independent Component Analysis: ICA, Maximum Entory Method: MEM, and Wavelet Based Method: WBM

Author 1: Kohei Arai
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 11 · Published 2012 · Cited by 6

DOI: 10.14569/IJACSA.2012.031113

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

How to Cite this Article

Arai, K. (2012). 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, 3(11). https://doi.org/10.14569/IJACSA.2012.031113

Arai, Kohei. "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, vol. 3, no. 11, 2012, https://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},
  volume    = {3},
  number    = {11},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJACSA.2012.031113},
  url       = {https://doi.org/10.14569/IJACSA.2012.031113}
}

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Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026