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Hermite Functions Expansion Based Non-Local Means Algorithm for CT Applicationsстатья
- Авторы: Mamaev N., Lukin A., Yurin D., Glazkova M., Sinitsin V.
- Сборник: 11th International Conference on Pattern Recognition and Image Analysis: New Information Technologies (PRIA-11-2003). Samara, September 23-28, 2013. Conference Proceedings
- Том: 2
- Год издания: 2013
- Место издания: IPSI RAS Samara
- Первая страница: 638
- Последняя страница: 641
- Аннотация: We propose a new algorithm for noise suppression – HeNLM. It is a modification of an existing local jets based method LJNLM-LR. In our method, the neighborhood of a pixel is expanded in a series of Hermite functions, which, unlike Gaussian derivatives, form an orthonormal basis. Testing of our method against Local Jets and NLM has shown better preservation of detail-rich areas, sharp edges in CT scans, without loss of medically-important information.
- Добавил в систему: Юрин Дмитрий Владимирович