View publication | Laboratory of Mathematical Methods of Image Processing

Title	HeNLM-3D: A 3D Computer Tomography Image Denoising Algorithm
Publication type	Conference paper
Author(s)	N. Mamaev, A. Lukin, D. Yurin
Publication date	May 2014
Conference	The 12th International Conference on Pattern Recognition and Information Processing
Page(s)	176-180
Address	28��30 May 2014, Minsk, Belarus
Publisher	United Institute of Informatics Problems of the National Academy of Sciences of Belarus
Abstract	A 3D filtering algorithm for CT images is proposed (HeNLM-3D). It is an extension of the known Local Jets method (LJNLM-LR) and our previous 2D algorithm (HeNLM). The proposed algorithm is based on the expansion of pixel neighborhoods into Hermite functions which form the orthonormal system. Tests on real CT images have shown that HeNLM-3D performs filtering better in high-detailed areas in comparison with LJNLM-LR and classical NLM method.
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@INPROCEEDINGS{*,
  Title = {HeNLM-3D: A 3D Computer Tomography Image Denoising Algorithm},
  Author = {N. Mamaev and A. Lukin and D. Yurin},
  BookTitle = {The 12th International Conference on Pattern Recognition and Information Processing},
  Month = {May},
  Year = {2014},
  Pages = {176--180},
  Address = {28���30 May 2014, Minsk, Belarus},
  Publisher = {United Institute of Informatics Problems of the National Academy of Sciences of Belarus},
  Language = {english}
}