research-article

Statistical Approach to Compare Image Denoising Techniques in Medical MR Images

Authors:

Setu Garg,

Ritu Vijay,

Shabana UroojAuthors Info & Claims

Volume 152, Issue C

Pages 367 - 374

https://doi.org/10.1016/j.procs.2019.05.004

Published: 01 January 2019 Publication History

Abstract

In medical image processing, magnetic resonance (MR) imaging techniques play an important role. The images acquired are usually affected from various noise such as gaussian noise, salt and pepper noise, speckle noise, periodic noise etc. Therefore, acquisition of images without noise is nearly impossible task. Various filtering techniques are used to reduce the noise for further analysis of medical images. In this paper, numerous digital filters such as mean filter, median filter, wiener filter, and adaptive filter are applied for the removal of different level of Gaussian noise, salt and pepper noise and speckle noise that are added separately in MR images. The performance of all the filtering techniques are compared on the basis of the statistical parameters such as Peak Signal to Noise Ratio (PSNR) and Root Mean Square Error (RMSE).

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Nisha BJose M(2024)DTMF: Decision-based Trimmed Multimode approach Filter for denoising MRI imagesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09446-528:7-8(6327-6342)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s00500-023-09446-5

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Statistical Approach to Compare Image Denoising Techniques in Medical MR Images

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Published In

Procedia Computer Science Volume 152, Issue C

2019

400 pages

ISSN:1877-0509

EISSN:1877-0509

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Elsevier Science Publishers B. V.

Netherlands

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Published: 01 January 2019

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Nisha BJose M(2024)DTMF: Decision-based Trimmed Multimode approach Filter for denoising MRI imagesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09446-528:7-8(6327-6342)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s00500-023-09446-5

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Cited By

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Recommendations

Performance Enhancement and Analysis of Filters in Ultrasound Image Denoising

Edge Preserving Fuzzy Filter for Color Images

Image Denoising Algorithms: A Comparative Study of Different Filtration Approaches Used in Image Restoration

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