Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor

Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor

IntroductionWavelet thresholding techniques are crucial in mitigating noise in data communication and storage systems. In image processing, particularly in medical imaging like MRI, noise reduction is vital for improving visual quality and accurate analysis. While existing methods offer noise reduct...

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Bibliographic Details
Main Authors: Ananias Pereira Neto, Fabrício J. B. Barros
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Neuroscience
Subjects:
wavelet transform
wavelet thresholding
image noise reduction
adaptive thresholding
MSE
PSNR
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1516514/full

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https://www.frontiersin.org/articles/10.3389/fnins.2024.1516514/full

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