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  • 标题:Accurate Tools for Analyzing the Behavior of Impulse Noise Reduction Filters in Color Images
  • 本地全文:下载
  • 作者:Fabrizio Russo
  • 期刊名称:Journal of Signal and Information Processing
  • 印刷版ISSN:2159-4465
  • 电子版ISSN:2159-4481
  • 出版年度:2013
  • 卷号:4
  • 期号:1
  • 页码:42-50
  • DOI:10.4236/jsip.2013.41005
  • 出版社:Scientific Research Publishing
  • 摘要:Effective cancellation of noise and preservation of color/structural information are features of paramount importance for any filter devoted to impulse noise removal in color images. In this paper novel full-reference tools for analyzing the behavior of this family of filters are presented. The proposed approach is based on the classification of color errors into two main classes that separately take into account the inaccuracy in removing noise pulses and the filtering distortion. The distortion errors are then classified into two subclasses for a deeper analysis of the filtering behavior. Computer simulations show that the proposed method gives more accurate results than using other measures of filtering performance in the literature. Furthermore, the method can easily yield the spatial location of the different filtering features in the image.
  • 关键词:Color Image Denoising; Image Analysis; Vector Filters; Impulse Noise
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