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A Critical Review on CT Image denoising in Wavelet domain
- 1 Graphic Era Deemed to be University
- 2 Bennett University
- 3 University of Warwick
- 4 Jeonbuk National University
- 5 Uttaranchal University
- 6 Amity University Uttar Pradesh
* Author to whom correspondence should be addressed.
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
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Cite this article
Diwakar,M.;Singh,P.;Shankar,A.;E.,S.V.;Joshi,K.;Kumar,M. (2023). A Critical Review on CT Image denoising in Wavelet domain. Applied and Computational Engineering,8,31-36.
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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
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