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

Digital Holographic Microscopy (DHM) is a 3D imaging technology widely applied in biology, microelectronics, and medical research. However, the noise generated during the 3D imaging process can affect the accuracy of medical diagnoses. To solve this problem, we proposed several frequency domain filt...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 24; no. 6; p. 1950
Main Authors:	Kim, Hyun-Woo, Cho, Myungjin, Lee, Min-Chul
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 19.03.2024 MDPI
Subjects:	Algorithms Data mining Deep learning Digital Holographic Microscopy (DHM) Fourier transforms Image processing Imaging systems Improved Denoising Diffusion Probabilistic Models (IDDPM) Methods Microscope and microscopy Microscopy Noise control noise filtering Technology application Three dimensional imaging Improved Denoising Diffusion Probabilistic Models (IDDPM) Digital Holographic Microscopy (DHM) noise filtering
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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