한국멀티미디어학회:학술대회논문집 (Proceedings of the Korea Multimedia Society Conference)
- 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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- Pages.6-9
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- 2012
A Comparison of the Rudin-Osher-Fatemi Total Variation model and the Nonlocal Means Algorithm
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최흥국
(인제대학교)
- Adiya, Enkhbolor (Department of Computer Engineering, Inje University) ;
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Choi, Heung-Kook
(Department of Computer Engineering, Inje University)
- 발행 : 2012.05.18
초록
In this study, we compare two image denoising methods which are the Rudin-Osher-Fatemi total variation (TV) model and the nonlocal means (NLM) algorithm on medical images. To evaluate those methods, we used two well known measuring metrics. The methods are tested with a CT image, one X-Ray image, and three MRI images. Experimental result shows that the NML algorithm can give better results than the ROF TV model, but computational complexity is high.