351 citations · 1.3k across the 22 of their papers we have counts for
4 papers · 2 filters
A higher-order MRF based variational model for multiplicative noise reduction
Yunjin Chen, Wensen Feng, René Ranftl +2
The Fields of Experts (FoE) image prior model, a filter-based higher-order Markov Random Fields (MRF) model, has been shown to be effective for many image restoration problems. Mot…
Revisiting loss-specific training of filter-based MRFs for image restoration
Yunjin Chen, Thomas Pock, René Ranftl +1
It is now well known that Markov random fields (MRFs) are particularly effective for modeling image priors in low-level vision. Recent years have seen the emergence of two main app…
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs
Yunjin Chen, René Ranftl, Thomas Pock
This paper addresses a new learning algorithm for the recently introduced co-sparse analysis model. First, we give new insights into the co-sparse analysis model by establishing co…
A bi-level view of inpainting - based image compression
Yunjin Chen, René Ranftl, Thomas Pock
Inpainting based image compression approaches, especially linear and non-linear diffusion models, are an active research topic for lossy image compression. The major challenge in t…