MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting

Authors:
Jalal M. Fadili;Jean-Luc Starck;Michael Elad;David L. Donoho
Affiliations:
National Graduate School of Engineering and Research, Caen, France;French Commission for Atomic Energy;The Technion–Israel Institute of Technology;Stanford University
Venue:
IEEE Design & Test
Year:
2010

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Abstract

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.