TY  - CONF
CY  - Hanoi, Vietnam
ID  - SisLab2189
UR  - http://dx.doi.org/10.1109/ATC.2016.7764794
A1  - Luong, Quang Hai
A1  - Tran, Duc Tan
A1  - Nguyen, Linh Trung
A1  - Huynh, Huu Tue
Y1  - 2016///
N2  - In this paper we present an efficient examplebased 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 middleband and the high-band in order to better preserve the highfrequency details in the image we perform denoising on these two bands. The 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 denoising method can preserve well the highfrequency details. The objective and subjective comparisons also show that the proposed our method outperforms other state-of-the-art denoising methods.
TI  - Estimation of elasticity and viscosity in heterogeneous medium using FDTD method and AHI algorithm
SP  - 103
M2  - Hanoi, Vietnam
AV  - public
EP  - 107
T2  - 9th International Conference on Advanced Technologies for Communications (ATC)
ER  -