Abstract
Nonlinear image warping or image resampling is a necessary step in many current and upcoming video applications, such as video retargeting, stereoscopic 3-D mapping, and multiview synthesis. The challenges for real-time resampling include not only image quality but also available energy and computational power of the employed device. In this paper, we employ an elliptical-weighted average (EWA) rendering approach to 2-D image resampling. We extend the classical EWA framework for increased visual quality and provide a very large scale integration architecture for efficient view rendering. The resulting architecture is able to render high-quality video sequences in real time targeted for low-power applications in end-user display devices.
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