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  • 标题:Identification and Removal of Impulsive noise using Hypergraph Model
  • 本地全文:下载
  • 作者:Karibasappa K.G ; K. Karibasappa
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2010
  • 卷号:2
  • 期号:08
  • 页码:2666-2669
  • 出版社:Engg Journals Publications
  • 摘要:Image noise is unwanted information of an image. Noise can occur during image capture, transmission, or processing and it may depend or may not depend on image content.. In order to remove the noise from the noisy image, prior knowledge about the nature of noise must be known other wise noise removal causes the image blurring. Identifying nature of noise is a challenging problem. Many researchers have proposed their ideas on image denoising and each of them has its assumptions, advantages and limitations. In this paper, we are proposing a new algorithm for identifying and removing the impulsive noise using hypergraph concept.
  • 关键词:Hypergraph; Noise; Neighborhood; Segmentation; Homogeneous regions
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