View publication | Laboratory of Mathematical Methods of Image Processing

Title	Edge quality metrics for image enhancement
Publication type	Journal article
Author(s)	A.V.Nasonov, A.S.Krylov
Publication date	2012
Journal	Pattern Recognition and Image Analysis
Volume	22
Issue	1
Page(s)	346-353
Abstract	The paper presents a new adaptive full reference method for quality measurement of image enhancement algorithms. The method is based on the analysis of basic edges��sharp edges which are distant from another edges. The proposed basic edges metrics calculates error values in two areas related to typical artifacts of image enhancement algorithms: basic edges area and basic edges neighborhood. The metrics are illustrated with an application to image resampling and image deblurring but it is also applicable for image deringing and image denoising.
URL	PDF

Show BiBTeX entry


@ARTICLE{*,
  Title = {Edge quality metrics for image enhancement},
  Author = {A. V. Nasonov and A. S. Krylov},
  Journal = {Pattern Recognition and Image Analysis},
  Volume = {22},
  Number = {1},
  Year = {2012},
  Pages = {346--353},
  Language = {english}
}