Morphological component analysis
Jean‐Luc Starck, Y. Moudden, Jérôme Bobin, Michael Elad, David L. Donoho · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
The Morphological Component Analysis (MCA) is a a new method which allows us to separate features contained in an image when these features present different morphological aspects. We show that MCA can be very useful for decomposing images into texture and piecewise smooth (cartoon) parts or for inpainting applications. We extend MCA to a multichannel MCA (MMCA) for analyzing multispectral data and present a range of examples which illustrates the results.