End-to-End Computational Lensless Imaging with Perceptual Loss

Ya Ti Chang Lee, Chung Hao Tien

研究成果同行評審

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
DOIs
出版狀態Published - 2022
事件29th International Display Workshops, IDW 2022 - Fukuoka, 日本
持續時間: 14 12月 202216 12月 2022

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