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Sparse ICA for blind separation of transmitted and reflected images
Author(s) -
Bronstein Alexander M.,
Bronstein Michael M.,
Zibulevsky Michael,
Zeevi Yehoshua Y.
Publication year - 2005
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20042
Subject(s) - spica , computer science , a priori and a posteriori , polarizer , artificial intelligence , image (mathematics) , computer vision , separation (statistics) , planar , blind signal separation , computer graphics (images) , optics , physics , telecommunications , machine learning , philosophy , birefringence , epistemology , channel (broadcasting)
We address the problem of recovering a scene recorded through a semireflecting medium (i.e. planar lens), with a virtual reflected image being superimposed on the image of the scene transmitted through the semirefelecting lens. Recent studies propose imaging through a linear polarizer at several orientations to estimate the reflected and the transmitted components in the scene. In this study we extend the sparse ICA (SPICA) technique and apply it to the problem of separating the image of the scene without having any a priori knowledge about its structure or statistics. Recent novel advances in the SPICA approach are discussed. Simulation and experimental results demonstrate the efficacy of the proposed methods.© 2005 Wiley Periodicals, Inc. © 2005 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 15, 84–91, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20042