Super-Resolution Enhancement Method Based on Generative Adversarial Network for Integral Imaging Microscopy

Super-Resolution Enhancement Method Based on Generative Adversarial Network for Integral Imaging Microscopy

The integral imaging microscopy system provides a three-dimensional visualization of a microscopic object. However, it has a low-resolution problem due to the fundamental limitation of the F-number (the aperture stops) by using micro lens array (MLA) and a poor illumination environment. In this pape...

Full description

Bibliographic Details
Main Authors: Md. Shahinur Alam, Ki-Chul Kwon, Munkh-Uchral Erdenebat, Mohammed Y. Abbass, Md. Ashraful Alam, Nam Kim
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
deep learning
generative adversarial network
integral imaging microscopy
machine intelligence
microscopy
Online Access:https://www.mdpi.com/1424-8220/21/6/2164

Similar Items

Similar Items