1 citations · 2 across the 4 of their papers we have counts for
4 papers
Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches
Jing Guo, Shuping Wang, Chen Luo +2
Non-local self-similarity based low rank algorithms are the state-of-the-art methods for image denoising. In this paper, a new method is proposed by solving two issues: how to impr…
Edge Adaptive Hybrid Regularization Model For Image Deblurring
Tingting Zhang, Jie Chen, Caiying Wu +3
The parameter selection is crucial to regularization based image restoration methods. Generally speaking, a spatially fixed parameter for regularization item in the whole image doe…
A Review of an Old Dilemma: Demosaicking First, or Denoising First?
Qiyu Jin, Gabriele Facciolo, Jean-Michel Morel
Image denoising and demosaicking are the most important early stages in digital camera pipelines. They constitute a severely ill-posed problem that aims at reconstructing a full co…
Convergence Theorems for the Non-Local Means Filter
Qiyu Jin, Ion Grama, Quansheng Liu
In this paper, we establish convergence theorems for the Non-Local Means Filter in removing the additive Gaussian noise. We employ the techniques of "Oracle" estimation to determin…