RECONSTRUCTING A SUPER-RESOLUTION IMAGE FOR DEPTH-VARYING SCENES

  • Yokoyamay, Ami (Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology) ;
  • Kubotaz, Akira (Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology) ;
  • Hatoriz, Yoshinori (Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology)
  • Published : 2009.01.12

Abstract

In this paper, we present a novel method for reconstructing a super-resolution image using multi-view low-resolution images captured for depth varying scene without requiring complex analysis such as depth estimation and feature matching. The proposed method is based on the iterative back projection technique that is extended to the 3D volume domain (i.e., space + depth), unlike the conventional superresolution methods that handle only 2D translation among captured images.

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