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Proceedings Paper

Multistage block-matching motion estimation for superresolution video reconstruction
Author(s): Li Hong; Roberto Sannino; Jarkko Kari
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Paper Abstract

The performance of superresolution video enhancement relies heavily on the robustness and accuracy of motion estimation techniques. In this paper, we propose a novel and efficient block matching motion estimation algorithm suitable for estimating general motion existing in low resolution video frames. We exploit the spatial correlations between motion vectors and apply a coarse-to-fine multi-stage scheme to get the dense motion fields. We incorporate our motion estimation technique into the Projection Onto Convex Sets (POCS) superresolution framework. Experimental results show that the resulting high resolution images yield visual sharper enhanced images with significant PSNR improvement.

Paper Details

Date Published: 4 January 2002
PDF: 9 pages
Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); doi: 10.1117/12.453029
Show Author Affiliations
Li Hong, STMicroelectronics, Inc. (United States)
Roberto Sannino, STMicroelectronics, Inc. (United States)
Jarkko Kari, Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 4671:
Visual Communications and Image Processing 2002
C.-C. Jay Kuo, Editor(s)

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