187 citations · 705 across the 37 of their papers we have counts for
4 papers · 1 filter
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling
Bihan Wen, Yanjun Li, Yoram Bresler
Recent works on adaptive sparse and on low-rank signal modeling have demonstrated their usefulness in various image / video processing applications. Patch-based methods exploit loc…
Multichannel Sparse Blind Deconvolution on the Sphere
Yanjun Li, Yoram Bresler
Multichannel blind deconvolution is the problem of recovering an unknown signal and multiple unknown channels from their circular convolution ($i=…
Learning Filter Bank Sparsifying Transforms
Luke Pfister, Yoram Bresler
Data is said to follow the transform (or analysis) sparsity model if it becomes sparse when acted on by a linear operator called a sparsifying transform. Several algorithms have be…
Bounding Multivariate Trigonometric Polynomials with Applications to Filter Bank Design
Luke Pfister, Yoram Bresler
The extremal values of multivariate trigonometric polynomials are of interest in fields ranging from control theory to filter design, but finding the extremal values of such a poly…