The Community for Technology Leaders
Green Image
Issue No. 01 - January/February (2010 vol. 12)
ISSN: 1521-9615
pp: 44-63
Jalal M. Fadili , National Graduate School of Engineering and Research, Caen, France
Jean-Luc Starck , French Commission for Atomic Energy
Michael Elad , The Technion–Israel Institute of Technology
David L. Donoho , Stanford University
<p>Morphological component analysis of signals and images has far-reaching applications in science and technology, but some consider it problematic and even intractable. Reproducible research is essential to give MCA a firm scientific foundation. Researchers developed MCALab to demonstrate key MCA concepts and make them available to interested researchers.</p>
Reproducible research, sparse representations, signal and image decomposition, inpainting, morphological component analysis

M. Elad, J. M. Fadili, J. Starck and D. L. Donoho, "MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting," in Computing in Science & Engineering, vol. 12, no. , pp. 44-63, 2009.
88 ms
(Ver 3.3 (11022016))