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22 November 2024 Robustness of low-light lensless imaging with camera noise
Yuwei Liu, Tianjiao Zeng, Xu Zhan, Wensi Zhang, Xiaoling Zhang
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Proceedings Volume 13240, Holography, Diffractive Optics, and Applications XIV; 1324010 (2024) https://doi.org/10.1117/12.3037116
Event: SPIE/COS Photonics Asia, 2024, Nantong, Jiangsu, China
Abstract
In this paper, we evaluate the noise sensitivity of mask based lensless imaging by analysing how much information is lost due to camera noise in low-light conditions. A noise model based on a lensless imaging system under lowlight conditions is presented for noise analysis in lensless imaging. The structure utilises the noise-free point spread function (PSF) of a diffuser-based lensless system to generate a noisy PSF from a camera in a real-world low-light environment. We then use a statistical approach to observe how the amount of mutual information between the noiseless and the noisy PSF’s is affected with the enhancement of camera noise. We performed the same simulation for comparison with lens-based imaging. We demonstrate that the proposed model and the mask based lensless imaging system exhibits better robustness than the lens-based imaging system in low-light environments.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Yuwei Liu, Tianjiao Zeng, Xu Zhan, Wensi Zhang, and Xiaoling Zhang "Robustness of low-light lensless imaging with camera noise", Proc. SPIE 13240, Holography, Diffractive Optics, and Applications XIV, 1324010 (22 November 2024); https://doi.org/10.1117/12.3037116
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KEYWORDS
Imaging systems
Cameras
Point spread functions
Image processing
Systems modeling
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