isikdogan.com
Leo Isikdogan, MSc - Personal Homepage
http://www.isikdogan.com/index.html
Laboratory for Image and Video Engineering (LIVE). Department of Electrical and Computer Engineering. Department of Civil, Architectural and Environmental Engineering. The University of Texas at Austin. Gave a talk on Artificial Neural Networks and Deep Learning. At Motorola Mobility HQ, Chicago, Aug 15, 2016. Presented at the WNCG Board Meeting, Oct 15, 2015. My research advisor won an Emmy. Sep 30, 2015. Paper published at GRSL. Aug 12, 2015. PhD, Electrical and Computer Engineering, May 2017. Created ...
vsi.cs.uni-frankfurt.de
VSI: Events
http://www.vsi.cs.uni-frankfurt.de/events
3rd Workshop SMVP 2006. CVL-VSI joint research work one of top ranked methods in KITTI odometrybenchmark. Contribution to the SSBA Summer School 2010. Prof Mester contributes to the SSBA Summer School 2010, Linear methods in multidimensional signal analysis at Uppsala University, August 10 - 13, Uppsala. Http:/ www.cb.uu.se/SSBA summer 10/index.html. 2011 Joint Conference of the DAGM and GfKl. And www.gfkl.org. Dr Alvaro Guevara's research trip visiting EPFL Lausanne and INRIA Grenoble. In EPFL (Ecole Po...
en.wikipedia.org
Structural similarity - Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Structural_similarity
From Wikipedia, the free encyclopedia. This article needs additional citations for verification. Please help improve this article. By adding citations to reliable sources. Unsourced material may be challenged and removed. Learn how and when to remove this template message. SSIM" redirects here. For other uses, see SSIM (disambiguation). LIVE) at The University of Texas at Austin. And in subsequent collaboration with New York University. PSNR) and mean squared error. Application of the formula. In 2001...
en.wikipedia.org
Image quality - Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Image_quality
From Wikipedia, the free encyclopedia. Is a characteristic of an image that measures the perceived image degradation (typically, compared to an ideal or perfect image). Imaging systems may introduce some amounts of distortion or artifacts in the signal, so the quality assessment is an important problem. Image quality assessment categories. This section does not cite. Please help improve this section by adding citations to reliable sources. Unsourced material may be challenged and removed. An ideal model ...
atavassoli.bol.ucla.edu
Links
http://atavassoli.bol.ucla.edu/links.html
Laboratory for Image and Computer Engineering. Alan C. Bovik. Center for Perceptual Systems.