A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
This paper addresses the problem of super-resolving a single image and recovering the characteristics of the sensor using a learning-based approach. In particular, the Point Spread Function (PSF) of the camera is sought by minimizing the mean Euclidean distance function between patches from the input frame and from degraded versions of high-resolution training images. Once an estimate of the PSF is obtained, a supervised learning algorithm can then be used as is. Results are compared withdoi:10.1109/icip.2007.4379855 dblp:conf/icip/BeginF07 fatcat:pkzhl7ivznbr5ivcr4jsm7744i