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An Effective Example-based Denoising Method for CT Images using Markov Random Field

Trinh, Dinh Hoan and Nguyen, Thanh Trung and Nguyen, Linh Trung (2014) An Effective Example-based Denoising Method for CT Images using Markov Random Field. In: The 7th International Conference on Advanced Technologies for Communications (ATC 2014), 15-17 October 2014, Hanoi, Vietnam.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: 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
Subjects: Electronics and Communications > Communications
Electronics and Communications
Divisions: Faculty of Electronics and Telecommunications (FET)
Depositing User: A/Prof. Linh Trung Nguyen
Date Deposited: 09 Jul 2015 15:09
Last Modified: 07 Dec 2016 15:43

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