%0 Journal Article %1 IJACSA.2012.031113 %A Arai, Kohei %D 2012 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K Blind ICA; MEM; analuysis. cucktail effect; image party separation; wavelet %N 11 %T Method for Image Source Separation by Means of Independent Component Analysis: ICA, Maximum Entory Method: MEM, and Wavelet Based Method: WBM %U http://ijacsa.thesai.org/ %V 3 %X 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.

@article{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.}, added-at = {2014-02-21T08:00:08.000+0100}, author = {Arai, Kohei}, biburl = {https://www.bibsonomy.org/bibtex/26c3d021fba20a4ed0cb49e87ff551bff/thesaiorg}, interhash = {d3e1135cecc001b079e24111a3d360d1}, intrahash = {6c3d021fba20a4ed0cb49e87ff551bff}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {Blind ICA; MEM; analuysis. cucktail effect; image party separation; wavelet}, number = 11, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{Method for Image Source Separation by Means of Independent Component Analysis: ICA, Maximum Entory Method: MEM, and Wavelet Based Method: WBM}}, url = {http://ijacsa.thesai.org/}, volume = 3, year = 2012 }