Robust and accurate estimation of multiple motions for whole-image super-resolution
Masayuki Tanaka, Yoichi Yaguchi, Masatoshi Okutomi · 2008
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.