Applied and Computational Engineering
- The Open Access Proceedings Series for Conferences
Proceedings of the 2023 International Conference on Software Engineering and Machine Learning
Series Vol. 8 , 01 August 2023
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Access | Article
A Critical Review on CT Image denoising in Wavelet domain
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Abstract
Medical images are commonly used today by medical practitioners for the purposes of diagnosis. For the purposes of diagnosis, diagnostic images are widely used today by medical professionals. In general, MRI works on soft tissues, and CT works on hard tissues. Due to device and hardware limitations, mathematical calculations, transition mechanisms in computers, there are chances of creating noise in medical images.In yhis paper, a critical review on CT image denoising has been performed in wavelet domain. In the transform domain, the process of removing noise from an image starts with the image or data being divided up into a representation in scale space. It has methods for setting thresholds, rules for shrinking, and a way to clean up noise based on wavelets, among other things.
Keywords
CT image denoising, wavelet transform, entropy, thresholding, PSNR, SSIM
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2023 International Conference on Software Engineering and Machine Learning
- ISBN (Print)
- 978-1-915371-63-8
- ISBN (Online)
- 978-1-915371-64-5
- Published Date
- 01 August 2023
- Series
- Applied and Computational Engineering
- ISSN (Print)
- 2755-2721
- ISSN (Online)
- 2755-273X
- DOI
- 10.54254/2755-2721/8/20230067
- Copyright
- 01 August 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited