计算机科学
表征(材料科学)
光学成像
人工智能
人工神经网络
模式识别(心理学)
光学
物理
作者
David Morales-Norato,Henry Argüello,Hoover Rueda-Chacón
标识
DOI:10.1364/cosi.2023.cw3b.5
摘要
This work proposes to learn implicit neural representations of shift-variant PSFs for optical imaging systems that use diffractive optical elements. Results show that the proposed method is able to characterize shift-variant PSFs from sparse samples.
科研通智能强力驱动
Strongly Powered by AbleSci AI