TY  - CONF
ID  - SisLab1200
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1200/
A1  - Trinh, Dinh Hoan
A1  - Nguyen, Thanh Trung
A1  - Nguyen, Linh Trung
Y1  - 2014/10//
N2  - We propose in this paper a novel example-based method for Gaussian denoising of CT images. In the proposed method, denoising is performed with the help of a set of example CT images. We construct, from the example images, a database consisting of high and low-frequency patch pairs and then use the Markov random field to denoise. The proposed denoising method can restore the high-frequency band that is often lost by the traditional noise-filters. Moreover, it is very effective for images corrupted by heavy noise. Experimental results also show that the proposed method outperforms other state-of-the-art denoising methods both in the objective and subjective evaluations.
KW  - Gaussian noise;Markov processes;computerised tomography;image denoising;medical image processing;CT images;Gaussian denoising;Markov random field;example-based denoising method;high-frequency band;patch pairs;Biomedical imaging;Computed tomography;Databases;Image denoising;Noise;Noise measurement;Noise reduction
TI  - An Effective Example-based Denoising Method for CT Images using Markov Random Field
SP  - 355
M2  - Hanoi, Vietnam
AV  - none
EP  - 359
T2  - The 7th International Conference on Advanced Technologies for Communications (ATC 2014)
ER  -