128 citations · 155 across the 10 of their papers we have counts for
Showing cs.ITShow all
3 papers · 1 filter
cs.IT2017★ 128 cited
Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding
Vardan Papyan, Jeremias Sulam, Michael Elad
The celebrated sparse representation model has led to remarkable results in various signal processing tasks in the last decade. However, despite its initial purpose of serving as a…
cs.IT2017
On the Global-Local Dichotomy in Sparsity Modeling
Dmitry Batenkov, Yaniv Romano, Michael Elad
The traditional sparse modeling approach, when applied to inverse problems with large data such as images, essentially assumes a sparse model for small overlapping data patches. Wh…
cs.IT2013★ 1 cited
Can we allow linear dependencies in the dictionary in the sparse synthesis framework?
Raja Giryes, Michael Elad
Signal recovery from a given set of linear measurements using a sparsity prior has been a major subject of research in recent years. In this model, the signal is assumed to have a…