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Proceedings Paper

Super-resolution and high dynamic range reconstruction from multi-exposure images using Bayesian approach
Author(s): Tinghua Zhang; Huayan Sun; Guihua Fan
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Paper 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.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113381N (18 December 2019); doi: 10.1117/12.2544154
Show Author Affiliations
Tinghua Zhang, Space Engineering Univ. (China)
Huayan Sun, Space Engineering Univ. (China)
Guihua Fan, Space Engineering Univ. (China)

Published in SPIE Proceedings Vol. 11338:
AOPC 2019: Optical Sensing and Imaging Technology
John E. Greivenkamp; Jun Tanida; Yadong Jiang; HaiMei Gong; Jin Lu; Dong Liu, Editor(s)

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