View publication | Laboratory of Mathematical Methods of Image Processing

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Title	Fast Rank Algorithms with Multiscale Histograms Lazy Updating
Publication type	Conference paper
Author(s)	M. Storozhilova, D. Yurin
Publication date	November 2011
Conference	8th Open German-Russian Workshop “Pattern Recognition and Image Understanding” (OGRW-8-2011)
Page(s)	280-283
Address	Lobachevsky State University of Nizhny Novgorod, November 21-26, 2011
Abstract	Rank algorithms propose good solutions for image smoothing and impulse noise removing. In our previous work on the subject we have proposed methods for fast computations of ?V and KNV neighborhood average based on multiscale histograms. In this paper a new method for multiscale histograms fast updating is described and analyzed. Performance comparisons of the combined methods with fastest known median filtering algorithm are given. We have achieved the processing speed for ?V and KNV neighborhood average algorithms only a few times slowly than the fastest known median filtering algorithm.
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@INPROCEEDINGS{*,
  Title = {Fast Rank Algorithms with Multiscale Histograms Lazy Updating},
  Author = {M. Storozhilova and D. Yurin},
  BookTitle = {8th Open German-Russian Workshop ''Pattern Recognition and Image Understanding" (OGRW-8-2011)},
  Month = {November},
  Year = {2011},
  Pages = {280--283},
  Address = {Lobachevsky State University of Nizhny Novgorod, November 21-26, 2011},
  Language = {english}
}

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