End-to-End Computational Lensless Imaging with Perceptual Loss

Ya Ti Chang Lee, Chung Hao Tien

研究成果: Conference article同行評審

摘要

Recently, computational lensless imaging had been making progress with the evolution of artificial neural networks. Nonetheless, generative models for image reconstruction inherit challenge due to its ill-posed nature. We proposed a deep neural network based lensless imaging system by optimizing perceptual loss exclusively to end-to-end reconstruct images conforming human preference.

原文English
頁(從 - 到)1153-1156
頁數4
期刊Proceedings of the International Display Workshops
29
出版狀態Published - 2022
事件29th International Display Workshops, IDW 2022 - Fukuoka, Japan
持續時間: 14 12月 202216 12月 2022

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