Noise Level and Similarity Analysis for Computed Tomographic Thoracic Image with Fast Non-Local Means Denoising Algorithm

Noise Level and Similarity Analysis for Computed Tomographic Thoracic Image with Fast Non-Local Means Denoising Algorithm

Although conventional denoising filters have been developed for noise reduction from digital images, these filters simultaneously cause blurring in the images. To address this problem, we proposed the fast non-local means (FNLM) denoising algorithm which would preserve the edge information of object...

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Bibliographic Details
Main Authors: Bae-Guen Kim, Seong-Hyeon Kang, Chan Rok Park, Hyun-Woo Jeong, Youngjin Lee
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
noise analysis
computed tomography thoracic image
fast non-local means approach
denoising algorithm
MASH phantom
Online Access:https://www.mdpi.com/2076-3417/10/21/7455

Internet

https://www.mdpi.com/2076-3417/10/21/7455

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