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Issue No.01 - January/February (2010 vol.12)
pp: 44-63
Jean-Luc Starck , French Commission for Atomic Energy
Michael Elad , The Technion–Israel Institute of Technology
David L. Donoho , Stanford University
ABSTRACT
<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>
INDEX TERMS
Reproducible research, sparse representations, signal and image decomposition, inpainting, morphological component analysis
CITATION
Jean-Luc Starck, Michael Elad, David L. Donoho, "MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting", Computing in Science & Engineering, vol.12, no. 1, pp. 44-63, January/February 2010, doi:10.1109/MCSE.2010.14
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