Title :
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting
Author :
Fadili, Jalal M. ; Starck, Jean-Luc ; Elad, Michael ; Donoho, David L.
Author_Institution :
Nat. Grad. Sch. of Eng. & Res., Caen, France
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.
Keywords :
image representation; independent component analysis; mathematical morphology; mathematics computing; signal processing; MCALab; far-reaching applications; image decomposition; image inpainting; morphological component analysis; reproducible research; signal decomposition; signal inpainting; Chemical technology; Gold; Heart; Image analysis; Image decomposition; Mathematics; Pixel; Reproducibility of results; Signal analysis; Signal processing; Reproducible research; inpainting; morphological component analysis; signal and image decomposition; sparse representations;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2010.14
