Restoration of Out-of-Focus Fluorescence Microscopy Images Using Learning-Based Depth-Variant Deconvolution

Restoration of Out-of-Focus Fluorescence Microscopy Images Using Learning-Based Depth-Variant Deconvolution

Image quality is degraded in the out-of-focus region because of the depth-variant (DV) point spread function (DV-PSF) of a fluorescence microscope. Either non-blind or blind deconvolution for restoration results in limited improvement. In this work, we propose a two-step learning-based DV deconvolut...

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Bibliographic Details
Main Authors: Da He, De Cai, Jiasheng Zhou, Jiajia Luo, Sung-Liang Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Photonics Journal
Subjects:
Fluorescence microscopy
convolutional neural network
deconvolution
Online Access:https://ieeexplore.ieee.org/document/9001232/

Internet

https://ieeexplore.ieee.org/document/9001232/

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