Noise-Resilient Ptychographic Imaging with Deep Learning

doi:10.1109/CLEO-PR60912.2024.10676456

	Noise-Resilient Ptychographic Imaging with Deep Learning
	Han Yue 1; Yun Xie 1; Xin Lou2 ; Jun Cheng 3; Yu-Xuan Ren 4; Feng Shu 1,5
	2024-08-09
会议录名称	2024 CONFERENCE ON LASERS AND ELECTRO-OPTICS PACIFIC RIM (CLEO-PR)
ISSN	2997-7053
发表状态	已发表
DOI	10.1109/CLEO-PR60912.2024.10676456
摘要	We develop Ptyde-Net for enhancing the SNR in ptychographic phase retrieval in noisy environments, with specially designed denoising modules and attention mechanisms, which are evidenced by remarkable improvements in both PSNR and SSIM. © 2024 The Author(s)
关键词	Attention mechanisms De-noising Noisy environment Phase retrieval
会议名称	16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024
会议地点	Incheon, Korea, Republic of
会议日期	4-9 Aug. 2024
URL	查看原文
收录类别	EI
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20244217212668
原始文献类型	Conference article (CA)
来源库	IEEE
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/427488
专题	信息科学与技术学院信息科学与技术学院_PI研究组_娄鑫组
作者单位	1.Academy for Engineering and Technology, Fudan University, Shanghai, China 2.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 3.Institute for Infocomm Research, A*STAR, Singapore 4.Institute for Translational Brain Research, Fudan University, Shanghai, China 5.School of Electrical and Computer Engineering, University of Sydney, NSW, Australia
推荐引用方式 GB/T 7714	Han Yue,Yun Xie,Xin Lou,et al. Noise-Resilient Ptychographic Imaging with Deep Learning[C]:Institute of Electrical and Electronics Engineers Inc.,2024.