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Proceedings Paper

Separation of reflections via sparse ICA
Author(s): Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi
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Paper Abstract

We consider the problem of recovery of a scene recorded through a semirefective medium from its mixture with a virtual reflected image using the blind source separation (BSS) framework. We extend the Sparse ICA (SPICA) approach and apply it to the separation of the desired image from the superimposed images, without having any a priory knowledge about its structure and/or statistics. Advances in the SPICA approach are discussed. Simulations and experimental results illustrate the efficiency of the proposed approach, and of its specific implementation in a simple algorithm of a low computational cost. The approach and the algorithm are generic and can be adapted and applied to a wide range of BSS problems involving one-dimensional signals or images.

Paper Details

Date Published: 13 November 2003
PDF: 5 pages
Proc. SPIE 5207, Wavelets: Applications in Signal and Image Processing X, (13 November 2003); doi: 10.1117/12.505210
Show Author Affiliations
Alexander M. Bronstein, Technion-Israel Institute of Technology (Israel)
Michael M. Bronstein, Technion-Israel Institute of Technology (Israel)
Michael Zibulevsky, Technion-Israel Institute of Technology (Israel)
Yehoshua Y. Zeevi, Technion-Israel Institute of Technology (Israel)


Published in SPIE Proceedings Vol. 5207:
Wavelets: Applications in Signal and Image Processing X
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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