Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Effect of Sparse Decomposition on Various ICA Algorithms With Application to Image Data

  • Khan, Asif (Department of Communication Engineering Myongji University) ;
  • Kim, In-Taek (Department of Communication Engineering Myongji University)
  • Published : 2008.06.18
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Abstract

In this paper we demonstrate the effect of sparse decomposition on various Independent Component Analysis (ICA) algorithms for separating simultaneous linear mixture of independent 2-D signals (images). We will show using simulated results that sparse decomposition before Kernel ICA (Sparse Kernel ICA) algorithm produces the best results as compared to other ICA algorithms.

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