Superresolution Reconstruction of Video Sequence Using a Coarse-to-Fine Registration and Optimal Interpolation Strategy. (15th May 2013)

• Record Type: Journal Article
• Authors: Zhu, Zunshang; Liu, Xiaolin; Yuan, Yun; Zhu, Xianwei; Yu, Qifeng
• Is Part Of: International journal of advanced robotic systems. Volume 10:Number 5(2013)
• Publication Date: 2013-05-15
• Subjects: Superresolution Reconstruction -- Image Registration -- Homography -- Optimal Interpolation; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.5772/56451
• Languages: English
• ISSNs: 1729-8806

Abstract

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.