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Thursday, June 22 • 11:28am - 12:04pm
Fast Multidimensional Signal Processing with Shearlab.jl

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The Shearlet Transform was proposed in 2005 by the Professor Gitta Kutyniok (http://www3.math.tu-berlin.de/numerik/mt/mt/www.shearlet.org/papers/SMRuADaSO.pdf) and her colleagues as a multidimensional generalization of the Wavelet Transform, and since then it has been adopted by a lot of Companies and Institutes by its stable and optimal representation of multidimensional signals. Shearlab.jl is a already registered Julia package (https://github.com/arsenal9971/Shearlab.jl) based in the most used implementation of Shearlet Transform programmed in Matlab by the Research Group of Prof. Kutyniok (http://www.shearlab.org/software); improving it by at least double the speed on different experiments.examples of applications of Shearlet Transform one has Image Denoising, Image Inpaiting and Video Compression; for instance I used it mainly to reconstruct the Light Field of a 3D Scene from Sparse Photographic Samples of Different Perspectives with Stereo Vision purposes. A lot of research institutes and companies have already adopted the Shearlet Transform in their work (e.g. Fraunhofer Institute in Berlin and Charité Hospital in Berlin, Mathematical Institute of TU Berlin) by its directional sensitivity, reconstruction stability and sparse representation.

avatar for Héctor Andrade Loarca

Héctor Andrade Loarca

PhD Candidate, TU Berlin
Ph.D. student in Mathematics at the Technical University of Berlin (TUB) with Professor Gitta Kutyniok as advisor; major in Mathematics and Physics from National University of México (UNAM); ex Data Scientist of a mexican Open Governance Start Up (OPI); with experience in Data Mining... Read More →

Thursday June 22, 2017 11:28am - 12:04pm PDT
West Pauley Pauley Ballroom, Berkeley, CA