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Proceedings Paper

Morphological component analysis
Author(s): J.-L. Starck; Y. Moudden; J. Bobin; M. Elad; D. L. Donoho
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Paper Abstract

The Morphological Component Analysis (MCA) is a a new method which allows us to separate features contained in an image when these features present different morphological aspects. We show that MCA can be very useful for decomposing images into texture and piecewise smooth (cartoon) parts or for inpainting applications. We extend MCA to a multichannel MCA (MMCA) for analyzing multispectral data and present a range of examples which illustrates the results.

Paper Details

Date Published: 17 September 2005
PDF: 15 pages
Proc. SPIE 5914, Wavelets XI, 59140Q (17 September 2005); doi: 10.1117/12.615237
Show Author Affiliations
J.-L. Starck, DAPNIA/SEDI-SAP, CEA Saclay (France)
Stanford Univ. (United States)
Y. Moudden, DAPNIA/SEDI-SAP, CEA Saclay (France)
J. Bobin, DAPNIA/SEDI-SAP, CEA Saclay (France)
M. Elad, Stanford Univ. (United States)
D. L. Donoho, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 5914:
Wavelets XI
Manos Papadakis; Andrew F. Laine; Michael A. Unser, Editor(s)

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