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2010
IEEE

MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting

8 years 11 months ago
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting
Morphological Component Analysis (MCA) of signals and images is an ambitious and important goal in signal processing; successful methods for MCA have many far-reaching applications in science and technology. Because MCA is related to solving underdetermined systems of linear equations it might also be considered, by some, to be problematic or even intractable. Reproducible research is essential to to give such a concept a firm scientific foundation and broad base of trusted results. MCALab has been developed to demonstrate key concepts of MCA and make them available to interested researchers and technologists. MCALab is a library of Matlab routines that implement the decomposition and inpainting algorithms that we previously proposed in [1], [2], [3], [4]. The MCALab package provides the research community with open source tools for sparse decomposition and inpainting and is made available for anonymous download over the Internet. It contains a variety of scripts to reproduce the figu...
Mohamed-Jalal Fadili, Jean-Luc Starck, Michael Ela
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2010
Where CSE
Authors Mohamed-Jalal Fadili, Jean-Luc Starck, Michael Elad, David L. Donoho
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