Software

Non-blind deblurring (and blind denoising) with integrated noise estimation (CVPR 2011)

The following code package accompanies the paper

Uwe Schmidt, Kevin Schelten, and Stefan Roth. Bayesian deblurring with integrated noise estimation. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, Colorado, June 2011. [pdf]

Download: Version 1.0 (June 17, 2011)
Contact (questions/bug reports): Uwe Schmidt

Sampling-based Learning and Inference for Pairwise and High-Order MRFs (CVPR 2010)

The following code package accompanies the paper

Uwe Schmidt, Qi Gao, and Stefan Roth. A generative perspective on MRFs in low-level vision. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, California, June 2010. [pdf], [supplemental material], [conference video]

and provides a MATLAB implementation of pairwise MRFs as well as Fields of Experts, each based on flexible Gaussian scale mixture (GSM) potentials. The package also provides an efficient auxiliary variable Gibbs sampler for learning and inference along with demo code for model learning, evaluating the models' statistical properties, and for image restoration based on MMSE estimation.

Download: Version 1.1 (June 17, 2011)
Contact (questions/bug reports): Uwe Schmidt