Abstract
In this paper, we proposed a CT image denoising approach. This method combines Curvelet transformation with Monte-Carlo algorithm, firstly CT image’s Curvelet decomposition is processed. Secondly, Monte-Carlo algorithm is used to estimate high frequency coefficients. Finally, the coefficients are shrunk according to threshold function. The results show proposed approach can obtain better visual effect and de-noise effect.
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Deng, J., Li, H., Wu, H. (2011). A CT Image Denoise Method Using Curvelet Transform. In: Ma, M. (eds) Communication Systems and Information Technology. Lecture Notes in Electrical Engineering, vol 100. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21762-3_89
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DOI: https://doi.org/10.1007/978-3-642-21762-3_89
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21761-6
Online ISBN: 978-3-642-21762-3
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