An Extensive Review of Medical Image Denoising Techniques

Mohd. Ameen

An Extensive Review of Medical Image Denoising Techniques

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An Extensive Review of Medical Image Denoising Techniques

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Abstract

Image denoising is an important pre-processing step in medical image analysis. The basic intent of image denoising is to reconstruct the original image from its noisy observation as accurately as possible, while preserving important detail features such as edges and textures in the denoised image. In medical imaging, for the precise analysis of diseases denoising of medical images like X-RAY, CT (Computed Tomography), MRI (Magnetic Resonance Imaging), PET (Positron Emission Tomography) and SPECT (Single Photon Emission Computed Tomography) is essential since a small lose of a particular area in case of medical images may results in immense disaster similar to death. To mitigate such threat over the last few decades, image denoising has been extensively studied in the image and signal processing community and suggested various denoising techniques. Each approach has its assumptions, advantages, and limitations. In this paper a detailed survey has been carried out on various image denoising approaches and their performances on on medical images.

References

18 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mohd. Ameen. 2017. "An Extensive Review of Medical Image Denoising Techniques". Global Journal of Medical Research - D: Radiology, Diagnostic GJMR-D Volume 16 (GJMR Volume 16 Issue D2).

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GJMR Volume 16 Issue D2

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Journal Specifications

Crossref Journal DOI 10.17406/gjmr

Print ISSN 0975-5888

e-ISSN 2249-4618

Keywords

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Classification

GJMR-D Classification NLMC Code: WN 180

Submission ReceivedDecember 16, 2015
Peer Review Double Blind
Handling Editor
Accepted January 5, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

February 5, 2017

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Medical Research

Authors: Mohd. Ameen, Shah Aqueel Ahmed (PhD/Dr. count: 0)

View Count (all-time): 290

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Total Downloads (simulated): 69

Publish Date: 2016 01, Fri

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Total Downloads: 69

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