Super-resolution with continuous scan shift

Authors:
François Orieux;Thomas Rodet;Jean-François Giovannelli
Affiliations:
Laboratoire des Signaux et Systèmes, CNRS, SUPELEC, Univ. Paris-Sud 11, Gif-sur-Yvette Cedex, France;Laboratoire des Signaux et Systèmes, CNRS, SUPELEC, Univ. Paris-Sud 11, Gif-sur-Yvette Cedex, France;Laboratoire des Signaux et Systèmes, CNRS, SUPELEC, Univ. Paris-Sud 11, Gif-sur-Yvette Cedex, France
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 3
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Abstract

Super-resolution methods aimed to restore the spectrum of an original image above the half sampling frequency. The restoration problem is generally viewed as an inverse problem and a lot of research focus on the inversion approach. In this paper the question of super-resolution is addressed with only the forwardmodel point of view. With the addition of the time dimension in an specific case of continuous shift scanning we obtain explicit expression for the forward model and the data spectrum. We show with a new, simple and rigorous formalism that super-resolution can be done because the whole set of data is less aliased than a single image of the scene. Moreover, limits, conditions and performance questions are also addressed as well as perspectives on sampling conditions.