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Spatio-temporal super-resolution implementation based on camera array
Author(s): Tinghua Zhang; Huayan Sun; Biao Yang; Guihua Fan; Yingchun Li
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Paper Abstract

Multi video super-resolution algorithms reconstruct high spatio-temporal resolution video by exploiting complementary information in multiple low-resolution video sequences. Aiming at improving spatio-temporal resolution of video for real-world applications, an algorithm is proposed using Maximum Posterior Likelihood - Markov Random Field (MAP-MRF) and implemented on camera array. Compared with the current algorithms for super-resolution reconstruction, the suggested algorithm is advantageous in keeping the edge sharpness and detailed texture, and robust against the noises. The experimental result has confirmed the effectiveness of the proposed method under the practical conditions such as large displacement and motion aliasing.

Paper Details

Date Published: 12 March 2019
PDF: 6 pages
Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 110231D (12 March 2019); doi: 10.1117/12.2521550
Show Author Affiliations
Tinghua Zhang, Space Engineering Univ. (China)
Huayan Sun, Space Engineering Univ. (China)
Biao Yang, Space Engineering Univ. (China)
Guihua Fan, Space Engineering Univ. (China)
Yingchun Li, Space Engineering Univ. (China)


Published in SPIE Proceedings Vol. 11023:
Fifth Symposium on Novel Optoelectronic Detection Technology and Application
Qifeng Yu; Wei Huang; You He, Editor(s)

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