Online image processing

Wednesday, October 7, 2009 - 10:45am - 11:15am
Lind 305
Jean-Michel Morel (École Normale Supérieure de Cachan)
Keywords: Online image processing, unsupervised algorithms, fast algorithms, color balance, screened Poisson equation, denoising, image comparison, Retinex theory, affine invariant SIFT

Abstract: This is a new concept of publication for image processing. Putting image processing and image analysis algorithms on line allows every researcher to test directly the algorithms on his (her) own images. Some sample images are also proposed on each algorithm site. This project is under construction, but several algorithms are already available at

Each on line algorithm is described in a web site, which gives the main bibliographic links, and which comments on many experimental results. Each algorithm is also thoroughly described, and a code can be downloaded. Image processing on line is only possible with algorithms which have been mathematically analyzed and rationalized to the point where they do not depend anymore on technical parameters. A publication on line is different from --but can be complementary to-- a journal publication. The online algorithms must be elaborated to the point where they are fully autonomous, or depend on at most one user's parameter (typically the scale). I'll describe briefly the online algorithms: Microtexture synthesis algorithm, a Cartoon + Texture decomposition, a fully autonomous line segment detector, a PDE implementation of the color perception Retinex theory or a fully affine invariant image comparison algorithm, ASIFT.
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