2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CV2013★ 2 cited
Image Restoration using Total Variation with Overlapping Group Sparsity
Jun Liu, Ting-Zhu Huang, Ivan W. Selesnick +2
Image restoration is one of the most fundamental issues in imaging science. Total variation (TV) regularization is widely used in image restoration problems for its capability to p…
cs.CV2013
Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization
Po-Yu Chen, Ivan W. Selesnick
Convex optimization with sparsity-promoting convex regularization is a standard approach for estimating sparse signals in noise. In order to promote sparsity more strongly than con…
cs.CV2013
Translation-Invariant Shrinkage/Thresholding of Group Sparse Signals
Po-Yu Chen, Ivan W. Selesnick
This paper addresses signal denoising when large-amplitude coefficients form clusters (groups). The L1-norm and other separable sparsity models do not capture the tendency of coeff…