International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

A Study on Image Noise Removal Techniques for Magnetic Resonance Imaging

Author(s) Aaquib Zaman, Himanshu Nautiyal
Country India
Abstract Medical image denoising is very important and challenging area in the field of image processing. MRI (Magnetic resonance imaging) is very popular and most effective imaging technique. During the acquisition, MR images affected by random noise can be modeled as Gaussian or Rician distribution. In last few decades, so many denoising techniques were proposed but there are some limitations with the algorithms, because image edges and fine details are need to preserve. So there is need of compromise between de-noising quality and edge preservation to use images for real time application. Computation time is also very important parameter to implement the algorithms. In this paper, we have done an overview of different denoising algorithm. It observes that NLM (Non-Local Means) filter is much better than other existing state of art methods. Here study is done for enhancement of NLM to improve the performance. Results of different algorithms show that PCA (Principal Component Analysis) based algorithm with NLM performs much better in both quantitative and qualitative manner.
Keywords MRI, Rician Noise, Gaussian Noise, Non Local means, PCA, PSNR, BC
Field Engineering
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-02-11
Cite This A Study on Image Noise Removal Techniques for Magnetic Resonance Imaging - Aaquib Zaman, Himanshu Nautiyal - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.13298
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.13298
Short DOI https://doi.org/gthqnp

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