2 papers
cs.CV2025
Quality Versus Sparsity in Image Recovery by Dictionary Learning Using Iterative Shrinkage
Mohammadsadegh Khoshghiaferezaee, Moritz Krauth, Shima Shabani +1
Sparse dictionary learning (SDL) is a fundamental technique that is useful for many image processing tasks. As an example we consider here image recovery, where SDL can be cast as…
cs.CV2025
Sparse Dictionary Learning for Image Recovery by Iterative Shrinkage
Shima Shabani, Mohammadsadegh Khoshghiaferezaee, Michael Breuß
In this paper we study the sparse coding problem in the context of sparse dictionary learning for image recovery. To this end, we consider and compare several state-of-the-art spar…