Super-resolution and high dynamic range reconstruction from multi-exposure images using Bayesian approach

Tinghua Zhang; Huayan Sun; Guihua Fan

doi:10.1117/12.2544154

18 December 2019 Super-resolution and high dynamic range reconstruction from multi-exposure images using Bayesian approach

Tinghua Zhang, Huayan Sun, Guihua Fan

Author Affiliations +

Proceedings Volume 11338, AOPC 2019: Optical Sensing and Imaging Technology; 113381N (2019) https://doi.org/10.1117/12.2544154
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

Abstract

Aiming at improving spatial resolution and dynamic range of video for real-world applications, this paper focuses on the joint super-resolution, high dynamic range image reconstruction algorithm for multiple images captured by single camera. On the assumption that the response function is same at each pixel with different exposures, the joint super resolution and high dynamic range technology can be implemented. We propose a joint super-resolution and high dynamic range imaging algorithm reconstructed from multi-exposure images simultaneously. We conduct experiments under static and dynamic scene to validate the robustness of the proposed approach. Subjective and objective assessments for various experiments are presented to validate the effectiveness of the proposed super-resolution and high dynamic range reconstruction algorithm.

Citation Download Citation

Tinghua Zhang, Huayan Sun, and Guihua Fan "Super-resolution and high dynamic range reconstruction from multi-exposure images using Bayesian approach", Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113381N (18 December 2019); https://doi.org/10.1117/12.2544154

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