Thanh Trung Nguyen and Dinh Hoan Trinh and Linh Trung Nguyen (2016) An efficient example-based method for CT image denoising based on frequency decomposition and sparse representation. In: 9th International Conference on Advanced Technologies for Communications (ATC), 12-14 October, Hanoi, Vietnam.
Official URL: http://dx.doi.org/10.1109/ATC.2016.7764792
In this paper we present an effective example-based method for Gaussian denoising of CT images. In the proposed method, an image is considered as a sum of the three frequency bands: low-band, middle-band and high-band. We assume that the noise component is often mixed into the middle-band and the high-band and thus in order to better preserve the high-frequency details in the image we perform denoising on these two bands. The proposed denoising method is based on a sparse representation model in which a set of standard images is used to construct the example dictionaries. The experimental results demonstrate that the proposed method can preserved very good the high-frequency details. The objective and subjective comparisons also show that our method outperforms other state-of-the-art denoising methods.
|Item Type:||Conference or Workshop Item (Lecture)|
|Subjects:||Electronics and Communications|
|Divisions:||Faculty of Electronics and Telecommunications (FET)|
|Deposited By:||A/Prof. Linh Trung Nguyen|
|Deposited On:||25 Dec 2016 16:55|
|Last Modified:||25 Dec 2016 16:55|
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