A Novel Noise Filtering Method Using Kalman Filter in Digital Holographic Microscopy (DHM)-Reference-Cited by-同舟云学术

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A Novel Noise Filtering Method Using Kalman Filter in Digital Holographic Microscopy (DHM)

Published:2024-07-02 Issue: Volume:45 Page:1-5
ISSN:
Container-title:2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)
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Author:

Ono Taishi¹,Kim Hyun-Woo²,Cho Myungjin³,Lee Min-Chul²

Affiliation:

1. Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology,Fukuoka,Japan,820-8502

2. Kyushu Institute of Technology,Department of Computer Science and Networks,Fukuoka,Japan,820-8502

3. School of ICT, Robotics and Mechanical Engineering, Hankyong National University,IITC,Kyonggi-do,Republic of Korea,17579

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10628105/10628121/10628350.pdf?arnumber=10628350

Reference20 articles.

1. Image Processing Techniques for Improving Quality of 3D Profile in Digital Holographic Microscopy Using Deep Learning Algorithm

2. eHoloNet: a learning-based end-to-end approach for in-line digital holographic reconstruction

3. End-to-end deep learning framework for digital holographic reconstruction

4. Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising

5. 3D object recognition through processing of 2D holograms

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