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Unsupervised Image Enhancement for Nonlinear Optical Microscopy with Scarce Samples
Conference paper

Unsupervised Image Enhancement for Nonlinear Optical Microscopy with Scarce Samples

Yun-Jie Jhang, Xin Lin, Shih-Hsuan Chia, Wei-Chung Chen, I-Chen Wu, Ming-Tsang Wu, Guan-Yu Zhuo and Hung-Wen Chen
CLEO: Applications and Technology, CLEO:A and T 2023
2023
DOI: https://doi.org/10.1364/CLEO_AT.2023.ATu3Q.5
Appears in  keyword about Physics

Abstract

Computer Science (all) Electronic Optical and Magnetic Materials Atomic and Molecular Physics and Optics Space and Planetary Science Control and Systems Engineering Electrical and Electronic Engineering Instrumentation
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.

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