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- Title
Noise Reduction in CT Images in the Domain of the Hyperbolic Wavelet Transform.
- Authors
PETROV, Miroslav
- Abstract
The quantum and electronic noise generated by the physical principles of X-ray Computed Tomography (CT) degrade the quality of the projection data obtained. These components, as well as the possible anatomical noise, are propagated as pixel noise in the obtained CT images by means of reconstruction algorithms. The different characteristics of the medium through which the X-rays pass determine the direction and the non-stationary nature of the noise in the CT slices. This determines our choice of an adaptive statistical noise reduction algorithm based on the wavelet-threshold method and the correlation between two quasi-identical images. The hyperbolic wavelet transform (HWT) is used in the present paper, because the Hilbert transform (HT) does not change the variance of a random variable. The conducted experiments show that the proposed method gives results comparable or superior to the corresponding ones obtained by similar methods.
- Subjects
NOISE control; WAVELET transforms; COMPUTED tomography; ELECTRONIC noise; IMAGE reconstruction algorithms; IMAGE denoising
- Publication
Baltic Journal of Modern Computing, 2022, Vol 10, Issue 2, p132
- ISSN
2255-8942
- Publication type
Article
- DOI
10.22364/bjmc.2022.10.2.03