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. © 2011 Springer-Verlag Berlin Heidelberg.
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APA
Deng, J., Li, H., & Wu, H. (2011). A CT image denoise method using Curvelet transform. In Lecture Notes in Electrical Engineering (Vol. 100 LNEE, pp. 681–687). https://doi.org/10.1007/978-3-642-21762-3_89
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