128 citations · 155 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
Convolutional Dictionary Learning via Local Processing
Vardan Papyan, Yaniv Romano, Jeremias Sulam +1
Convolutional Sparse Coding (CSC) is an increasingly popular model in the signal and image processing communities, tackling some of the limitations of traditional patch-based spars…
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…