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12 March 2019 Spatio-temporal super-resolution implementation based on camera array
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Proceedings Volume 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application; 110231D (2019) https://doi.org/10.1117/12.2521550
Event: Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 2018, Xi'an, China
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.
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Tinghua Zhang, Huayan Sun, Biao Yang, Guihua Fan, and Yingchun Li "Spatio-temporal super-resolution implementation based on camera array", Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 110231D (12 March 2019); https://doi.org/10.1117/12.2521550
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