Resolution Improvement from Stereo Images with 3D Pose Differences

Resolution improvement from several images is typically restricted to simple planar rotations and translations. In this paper, a super-resolution algorithm that allows 3D ego-motion of the camera system is proposed. By exploiting the trifocal tensor constraint of a stereo camera system, the intermediate step of scene structure recovery is effectively skipped. 3D motion is estimated recursively through an extended Kalman filter and used by a novel image warping procedure to perform resolution enhancement. Real image experiment with comparison to well known Irani-Peleg approach confirms the validity of the algorithm.

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Siu-Hang Or, Ying Kin Yu, Kin-hong Wong, Michael Ming-Yuen Chang
• Keywords: Extended Kalman Filter, ICIP 2006, Image Processing, Image Warping Procedure, Simple Planar Rotations, Stereo Camera System, Trifocal Tensor Constraint