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ST Journal of System Research
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No. 0, July 2003 - Art. 6
 
Superresolution from Low Resolution Videos

by
Li Hong (STMicroelectronics)

Copyright
© STMicroelectronics, 2002
 
Abstract
Superresolution techniques attempt to reconstruct a higher resolution image (or video) from a low resolution input video sequence. The motivation here is that camera and scene motion lead temporal frames in the source video sequence contain similar but not identical information. In this paper, we first propose an efficient multi-stage block matching-based motion estimation algorithm to determine the correspondence among temporal frames.We provide simulation results which compare the performance of the proposed motion estimation scheme and the hierarchical block matching motion estimation techniques under the POCS superresolution framework. Second, we present a novel warping synthesis combined with an error correction scheme to reconstruct an SR video from an input video sequence as an alternative to the conventional 'sliding window' approach. Simulation results demonstrate that the proposed scheme dramatically reduces the computational load with little or no loss of reconstruction quality.
 
 

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