References#
Glossary#
- GMM#
Gaussian Mixture Model. A statistical model that assumes that the data is generated by a mixture of several Gaussian distributions.
- Exposure#
Quantity to convert the number of photons into a physical flux, such as TeV/s/cm^2. Typically represented by product of the effective area of the instrument and the exposure time of the observation.
- IACT#
Imaging Atmospheric Cherenkov Telescope. A telescope that detects Cherenkov light from air showers induced by gamma rays in the atmosphere. Examples are H.E.S.S., MAGIC, VERITAS and CTA.
- Jolideco#
Jolideco stands for (Jo)int (Li)kelihood (Deco)nvolution
- PSF#
Point Spread Function of an instrument.
- Patch Prior#
A prior distribution, that relies on the statistical properties of image patches.
Bibliography#
This is the bibliography containing the literature references for the implemented methods referenced from the Jolideco docs.
Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, and William T. Freeman. Computational imaging for vlbi image reconstruction. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June 2016.
Daniel Zoran and Yair Weiss. From learning models of natural image patches to whole image restoration. In 2011 International Conference on Computer Vision, volume, 479–486. 2011. doi:10.1109/ICCV.2011.6126278.