Practical Bounds on Image Denoising: From Estimation to Information
By Priyam Chatterjee, Peyman Milanfar. 2011
59 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Media Technology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Boaz Nadler
- Anat Levin
- Tomer Michaeli
- Yochai Blau
- Yunjin Chen
- Thomas Pock
- Marc Lebrun
- Shira Kritchman
In Computer Vision and Pattern Recognition
- Tomer Michaeli
- Yochai Blau
- Luc Van Gool
- Boaz Nadler
- Chen Change Loy
- Anat Levin
- Radu Timofte
- Ming-Hsuan Yang
In Media Technology
- Tomer Michaeli
- Boaz Nadler
- Anat Levin
- Yochai Blau
- Michal Irani
- William T. Freeman
- Yunjin Chen
- Michael Hirsch
Citations in the corpus
- The Perception-Distortion Tradeoff (2017, background): “Several past works attempted to answer the question: What is the minimal attainable distortion Dmin in various restoration tasks? [49], [50], [51], [52], [53].”
- Natural image denoising: Optimality and inherent bounds (2011, background): “An interesting question for future research, as recently considered by [5, 6], is whether there is a significant advantage in adapting the prior to the specific statistics of the observed image, as done by some recent denoising algorithms [3, 10, 8].”