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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Vydáno v:	Sensors (Basel, Switzerland) Ročník 24; číslo 6; s. 1950
Hlavní autoři:	Kim, Hyun-Woo, Cho, Myungjin, Lee, Min-Chul
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 19.03.2024 MDPI
Témata:	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
On-line přístup:	Získat plný text
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