Abstract
A denoising algorithm for computed tomography images is proposed. The presented method of noise reduction uses Markov Random Field (MRF) model, Gaussian filter and adaptive Prewitt Mask, what gives better results than standard approach of using only the MRF. This implementation on Compute Unified Device Architecture is made, what makes this computationally complex denoising method faster.
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Knas, M., Cierniak, R. (2015). Computed Tomography Images Denoising with Markov Random Field Model Parametrized by Prewitt Mask. In: Choraś, R. (eds) Image Processing & Communications Challenges 6. Advances in Intelligent Systems and Computing, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-10662-5_7
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DOI: https://doi.org/10.1007/978-3-319-10662-5_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10661-8
Online ISBN: 978-3-319-10662-5
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