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Robust and accurate estimation of multiple motions for whole-image super-resolution

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3 Author(s)
Tanaka, M. ; Tokyo Inst. of Technol., Tokyo ; Yaguchi, Y. ; Okutomi, M.

A robust whole-image super-resolution is highly demanded. Whole-image super-resolution requires target-region extraction and motion estimation because an image sequence usually includes multiple targets and a background. A single- motion model is insufficient to represent whole-image motion. In addition, high-accuracy motion estimation is necessary for super-resolution. Simultaneous target-region extraction and high-accuracy motion estimation are challenging problems. We propose a robust and accurate algorithm that can provide extracted single-motion regions and their motion parameters. The proposed algorithm consists of three phases: feature-based motion estimation, single-motion region extraction, and region-based motion estimation. Once we obtain motion parameters of the whole image, we can reconstruct a high-resolution whole image by applying a robust super- resolution. Results of experiments demonstrate that the proposed approach can robustly reconstruct complex multiple- target scenes.

Published in:

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Date of Conference:

12-15 Oct. 2008

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