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Understanding Medical Image Denoising, Enhancement, and Reconstruction
Mini Review | Published: 26 June 2025
Biomedical Informatics and Smart Healthcare Volume 1, Issue 1, 2025: 35-39
Volume 1, Issue 1, Biomedical Informatics and Smart Healthcare
Volume 1, Issue 1, 2025
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Biomedical Informatics and Smart Healthcare, Volume 1, Issue 1, 2025: 35-39

Open Access | Mini Review | 26 June 2025
Understanding Medical Image Denoising, Enhancement, and Reconstruction
by
Prabhishek Singh Prabhishek Singh 1 *
1 School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India
* Corresponding Author: Prabhishek Singh, [email protected]
DOI: 10.62762/BISH.2025.966762
Received: 06 February 2025, Accepted: 13 May 2025, Published: 26 June 2025  
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Abstract
Medical imaging is an essential and valuable tool in modern medicine for providing essential details on the internal structures and functioning of the human body. Although very useful, the raw images obtained from medical imaging systems usually contain different types of artifacts and noise that might hide some essential diagnostic information. In this paper, the author details the conventional and non-conventional methods as well as sophisticated deep learning research methods used in improving the quality of healthcare images. The paper also delves into strategies designed to elevate the visual quality and interpretability in medical diagnostics. The paper includes some latest case studies to illustrate the usefulness of these strategies in the clinical context. This is classically imclinically importantportant because of the blend between essential information and high-level research that this review provides, thus making it an indispensable tool for students, researchers, and professionals who aim to enhance their understanding and knowledge about medical image processing technology.
Keywords
medical imaging
denoising
enhancement
reconstruction
deep learning
healthcare
Data Availability Statement
Not applicable.
Funding
This work was supported without any funding.
Conflicts of Interest
The author declare no conflicts of interest.
Ethical Approval and Consent to Participate
Not applicable.
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Cite This Article
APA Style
Singh, P. (2025). Understanding Medical Image Denoising, Enhancement, and Reconstruction. Biomedical Informatics and Smart Healthcare, 1(1), 35–39. https://doi.org/10.62762/BISH.2025.966762
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