Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity

• Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 5906 - 5915
• Main Authors: Shah, Sohil, Goldstein, Tom, Studer, Christoph
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2016
• Subjects: Computer vision; Image coding; Imaging; Memory management; Minimization; Robustness

Conventional algorithms for sparse signal recovery and sparse representation rely on l1-norm regularized variational methods. However, when applied to the reconstruction of sparse images, i.e., images where only a few pixels are non-zero, simple l1-norm-based methods ignore potential correlations in...