@inproceedings{c542c19add3341bb88f4e0306e379ea7,
title = "Unsupervised Image Enhancement for Nonlinear Optical Microscopy with Scarce Samples",
abstract = "We present an unsupervised model without any assumptions to enhance images in nonlinear optical microscopy. It only takes 30 training images and can be generalized to unseen samples. Qualitative and quantitative results show significant improvement.",
author = "Jhang, {Yun Jie} and Xin Lin and Chia, {Shih Hsuan} and Chen, {Wei Chung} and Wu, {I. Chen} and Wu, {Ming Tsang} and Zhuo, {Guan Yu} and Chen, {Hung Wen}",
note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2023 {\textcopyright} 2023 The Author(s); 2023 Conference on Lasers and Electro-Optics, CLEO 2023 ; Conference date: 07-05-2023 Through 12-05-2023",
year = "2023",
language = "English",
series = "2023 Conference on Lasers and Electro-Optics, CLEO 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 Conference on Lasers and Electro-Optics, CLEO 2023",
address = "美國",
}