Modeling and Information Processing
SR - Super-resolution
Objective
- To improve the spatial resolution of a sequence of images taken by a moving sensor by spatio-temporal processing.
Contribution
The purpose of super-resolution (SR) is to improve the resolution of a sequence of images from a moving sensor. This mainly involves countering the spatial folding (or image aliasing) caused by the sub-sampling of the focal plane relative to the optical cut-off frequency. What these techniques have in common is that they combine several images using the sub-pixel variations of the view taken to separate the aliased frequencies. The work done at the DTIM concerns all the aspects linked to the effective use of these techniques coming from video in the context of onboard aerial imaging. These studies are oriented in two directions: towards developing algorithms dedicated to the aerial context and, in particular, capable of handling non-isometric distortions of images, and also towards the difficult problem of evaluating performance. On this second point, the DTIM has developed an original evaluating methodology that provides theoretical answers to evaluating the potential of SR in realistic contexts. This model is currently being validated, in conjunction with C. Kulcsár ( University of Paris13 , Institut Galilée).
Illustrations
