TY  - CONF
CY  - Hanoi, Vietnam
ID  - SisLab2187
UR  - http://dx.doi.org/10.1109/ATC.2016.7764792
A1  - Nguyen, Thanh Trung
A1  - Trinh, Dinh Hoan
A1  - Nguyen, Linh Trung
Y1  - 2016///
N2  - 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.
TI  - An efficient example-based method for CT image denoising based on frequency decomposition and sparse representation
SP  - 293
M2  - Hanoi, Vietnam
AV  - public
EP  - 296
T2  - 9th International Conference on Advanced Technologies for Communications (ATC)
ER  -