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...
Saved in:
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: | |
Online Access: | https://ieeexplore.ieee.org/document/9001232/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deconvolution of seismic data
Published: (1982) -
Interactions Between Hantavirus Nucleoprotein and Glycoproteins: A Quantitative Fluorescence Microscopy Study
by: Amit Koikkarah Aji, et al.
Published: (2025-07-01) -
Noise Suppression of Distributed Acoustic Sensing Based on <italic>f</italic>-<italic>x</italic> Deconvolution and Wavelet Transform
by: Wenhui Sun, et al.
Published: (2020-01-01) -
Demultiplexing in mode-division multiplexing system using multichannel blind deconvolution
by: Li Yan, et al.
Published: (2016-01-01) -
Fault Detection Enhancement in Rolling Element Bearings Using the Minimum Entropy Deconvolution
by: Tomasz BARSZCZ, et al.
Published: (2013-10-01)