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I will present our recent work on super-resolution of multiband images with multiresolution bands (e.g., Sentinel-2, MODIS). We address this imaging inverse problem by adopting scene-adapted non-local patch/tensor-based variational regularization. The inference is carried out under the convex or the plug-and-play frameworks. The effectiveness of the proposed approach will be documented in a series of experiments with simulated and real data.
This presentation is part of Minisymposium “MS49 - Image Restoration, Enhancement and Related Algorithms (4 parts)”
organized by: Weihong Guo (Case Western Reserve University) , Ke Chen (University of Liverpool) , Xue-Cheng Tai (Hong Kong Baptist University) , Guohui Song (Clarkson University) .