View publication | Laboratory of Mathematical Methods of Image Processing

Лаборатория математических методов обработки изображений

Кафедра математической физики
факультета Вычислительной математики и кибернетики
МГУ имени М.В.Ломоносова

Title	An image resampling method using combined directional kernels
Publication type	Conference paper
Author(s)	A.V.Nasonov, A.S.Krylov, K.E.Chesnakov
Publication date	2016
Conference	Proceedings of the 6th European Workshop on Visual Information Processing EUVIP2016
Page(s)	1-5
Address	Marselle, France
Abstract	A new edge-directional image resampling method is proposed. The method uses a weighted sum of two adaptive 4x4 interpolation kernels to construct high-resolution pixels. The weights are chosen according to the local gradient features for each pixel. The interpolation kernels are learned using pairs of low- and high-resolution images taken from LIVE image database. The method has low complexity and low memory consumption. It outperforms existing fast edge-directional image interpolation methods.
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@INPROCEEDINGS{*,
  Title = {An image resampling method using combined directional kernels},
  Author = {A. V. Nasonov and A. S. Krylov and K. E. Chesnakov},
  BookTitle = {Proceedings of the 6th European Workshop on Visual Information Processing EUVIP2016},
  Year = {2016},
  Pages = {1--5},
  Address = {Marselle, France},
  Language = {english}
}