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文章基本信息

  • 标题:Contrast Enhancement Using Various Statistical Operations and Neighborhood Processing
  • 本地全文:下载
  • 作者:Nungsanginla Longkumer ; Mukesh Kumar ; A. K. Jaiswal
  • 期刊名称:Signal & Image Processing : An International Journal (SIPIJ)
  • 印刷版ISSN:2229-3922
  • 电子版ISSN:0976-710X
  • 出版年度:2014
  • 卷号:5
  • 期号:2
  • 页码:51
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Histogram Equalization is a simple and effective contrast enhancement technique. In spite of its popularityHistogram Equalization still have some limitations –produces artifacts, unnatural images and the localdetails are not considered, therefore due to these limitations many other Equalization techniques have beenderived from it with some up gradation. In this proposed method statistics play an important role in imageprocessing, where statistical operations is applied to the image to get the desired result such asmanipulation of brightness and contrast. Thus, a novel algorithm using statistical operations andneighborhood processing has been proposed in this paper where the algorithm has proven to be effective incontrast enhancement based on the theory and experiment.
  • 关键词:CHE; BBPHE; RMSHE; BPBHE; MSE; PSNR; SSIM; CNR.
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