Spatiotemporal Super-Resolution Reconstruction Based on Robust Optical Flow and Zernike Moment for Video Sequences

Joint Authors

Liang, Meiyu
Liu, Honggang
Du, Junping

Source

Mathematical Problems in Engineering

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-11-17

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

In order to improve the spatiotemporal resolution of the video sequences, a novel spatiotemporal super-resolution reconstruction model (STSR) based on robust optical flow and Zernike moment is proposed in this paper, which integrates the spatial resolution reconstruction and temporal resolution reconstruction into a unified framework.

The model does not rely on accurate estimation of subpixel motion and is robust to noise and rotation.

Moreover, it can effectively overcome the problems of hole and block artifacts.

First we propose an efficient robust optical flow motion estimation model based on motion details preserving, then we introduce the biweighted fusion strategy to implement the spatiotemporal motion compensation.

Next, combining the self-adaptive region correlation judgment strategy, we construct a fast fuzzy registration scheme based on Zernike moment for better STSR with higher efficiency, and then the final video sequences with high spatiotemporal resolution can be obtained by fusion of the complementary and redundant information with nonlocal self-similarity between the adjacent video frames.

Experimental results demonstrate that the proposed method outperforms the existing methods in terms of both subjective visual and objective quantitative evaluations.

American Psychological Association (APA)

Liang, Meiyu& Du, Junping& Liu, Honggang. 2013. Spatiotemporal Super-Resolution Reconstruction Based on Robust Optical Flow and Zernike Moment for Video Sequences. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1032132

Modern Language Association (MLA)

Liang, Meiyu…[et al.]. Spatiotemporal Super-Resolution Reconstruction Based on Robust Optical Flow and Zernike Moment for Video Sequences. Mathematical Problems in Engineering No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-1032132

American Medical Association (AMA)

Liang, Meiyu& Du, Junping& Liu, Honggang. Spatiotemporal Super-Resolution Reconstruction Based on Robust Optical Flow and Zernike Moment for Video Sequences. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1032132

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1032132