| International Journal of Advanced Robotic Systems | |
| Superresolution Reconstruction of Video Sequence Using a Coarse-to-Fine Registration and Optimal Interpolation Strategy | |
| 关键词: Superresolution Reconstruction; Image Registration; Homography; Optimal Interpolation; | |
| DOI : 10.5772/56451 | |
| 学科分类:自动化工程 | |
| 来源: InTech | |
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【 摘 要 】
Abstract In this paper, a novel video superresolution (SR) reconstruction approach using a coarse-to-fine registration and optimal interpolation strategy is proposed. Firstly, initial correspondence between two consecutive frames is identified by scale invariant feature transform (SIFT) features under the homography transformation model. Then, a least square matching (LSM) method is employed to achieve a high-precision estimation of homography. Finally, optimal interpolation using the iterative back projection-based deblurring method was designed to obtain a high-resolution grid interpolation and to improve the visual quality of the final SR results. The experiment results demonstrate that the proposed method provides an available SR approach in engineering applications.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201902183708040ZK.pdf | 3117KB |
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