CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 5914 > Article
Open Access Paper
17 September 2005 Morphological component analysis
J.-L. Starck, Y. Moudden, J. Bobin, M. Elad, D. L. Donoho
Author Affiliations +
Proceedings Volume 5914, Wavelets XI; 59140Q (2005) https://doi.org/10.1117/12.615237
Event: Optics and Photonics 2005, 2005, San Diego, California, United States
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
J.-L. Starck, Y. Moudden, J. Bobin, M. Elad, and D. L. Donoho "Morphological component analysis", Proc. SPIE 5914, Wavelets XI, 59140Q (17 September 2005); https://doi.org/10.1117/12.615237
PROCEEDINGS
 15 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Lens.org Logo
CITATIONS
Cited by 79 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Associative arrays
Independent component analysis
Data modeling
Wavelets
Image compression
Statistical analysis
Feature extraction
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top