A new deep learning method for image deblurring in optical microscopic systems
Abstract
Deconvolution is the most commonly used image processing method in optical imaging systems to remove the blur caused by the point‐spread function (PSF). While this method has been successful in deblurring, it suffers from several disadvantages, such as slow processing time due to multiple iterations required to deblur and suboptimal in cases where the experimental operator chosen to represent PSF is not optimal. In this paper, we present a...
Paper Details
Title
A new deep learning method for image deblurring in optical microscopic systems
Published Date
Jan 1, 2020
Journal
Volume
13
Issue
3
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