Research on super-resolution image reconstruction technology

Ming Dai; Honglie Xu; Zhaoyi Meng; Guohua Yang

doi:10.1117/12.3007266

18 December 2023 Research on super-resolution image reconstruction technology

Ming Dai, Honglie Xu, Zhaoyi Meng, Guohua Yang

Proceedings Volume 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics; 129630R (2023) https://doi.org/10.1117/12.3007266
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

The two key factors in super-resolution image reconstruction are the preprocessing of LR image sequences and the selection of reconstruction algorithms. Due to a series of factors such as noise and blur that may affect the captured image sequence, it is necessary to preprocess the image sequence first. For frames that cannot be processed, they should be considered as bad frames and removed to prepare for reconstruction. The selection of reconstruction algorithms is crucial, and the standard for a good reconstruction algorithm is fast reconstruction speed and good reconstruction results. This article compares the advantages and disadvantages of reconstruction algorithms both domestically and internationally, It is found that the POCS method is more suitable for this article, so more in-depth research and improvement have been conducted on the POCS method. The experimental results show that the improved POCS reconstruction algorithm has a relatively fast reconstruction speed and good reconstruction effect.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ming Dai, Honglie Xu, Zhaoyi Meng, and Guohua Yang "Research on super-resolution image reconstruction technology", Proc. SPIE 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics, 129630R (18 December 2023); https://doi.org/10.1117/12.3007266

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