@inproceedings{957edcaa91e945ea88893f7d2013ae91,
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: CLEO 2023 {\textcopyright} Optica Publishing Group 2023, {\textcopyright} 2023 The Author(s); CLEO: Applications and Technology, CLEO:A and T 2023 - Part of Conference on Lasers and Electro-Optics 2023 ; Conference date: 07-05-2023 Through 12-05-2023",
year = "2023",
doi = "10.1364/CLEO_AT.2023.ATu3Q.5",
language = "English",
series = "CLEO: Applications and Technology, CLEO:A and T 2023",
publisher = "Optical Society of America",
booktitle = "CLEO",
}