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作者机构:Changchun Univ Sci & Technol Sch Opto Elect Engn Changchun 130022 Peoples R China Changchun Univ Sci & Technol Key Lab Opto Elect Measurement & Opt Informat Tra Minist Educ Changchun 130012 Peoples R China
出 版 物:《OPTICS LETTERS》 (Opt. Lett.)
年 卷 期:2025年第50卷第3期
页 面:758-761页
核心收录:
学科分类:070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学]
基 金:Natural Science Foundation of Jilin Province [2024010 1341JC]
主 题:Deep learning Image quality Imaging systems Neural networks Optical components Spatial light modulators
摘 要:In this Letter, we introduce the Fourier-ADMM (alternating direction method of multipliers) network, improving the Fourier-ADMM algorithm by integrating it with an additional backpropagation process. Simultaneously, we develop a cost-effective and easily fabricated phase mask for lensless imaging systems. While the simplified phase mask may challenge the image quality for its faults such as low contrast and a suboptimal signal-to-noise ratio, the capabilities of the Fourier-ADMM network effectively mitigate these issues. The fabrication of the phase mask requires inexpensive and readily available raw materials and tools, and the process itself does not necessitate any highly specialized or precision operations. Our experimental results demonstrate that, with the backing of this advanced decoding network, the camera equipped with the simplified phase mask is capable of delivering high-quality imaging and rapid response times. (c) 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.