Time: Tuesday, December 1, 2015

Speaker: Dr. James Murphy (Duke University)

Title: Single image superresolution through directional representations

Abstract: The problem of image superresolution has been significant in the image processing community for many years, and has seen a recent mathematical resurgence. We discuss a superresolution algorithm based on sparse mixing estimators (SME) with shearlet frames. This work introduces the anisotropic frame regime to the state-of-the-art SME algorithm of Mallat and Yu. Synthetic and remotely sensed images will be analyzed, showing the gains from incorporating anisotropy. Joint work with W. Czaja and D. Weinberg.

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