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文章基本信息

  • 标题:Restoration of Degraded Historical Document Image
  • 本地全文:下载
  • 作者:B. Gangamma ; Srikanta Murthy K ; Arun Vikas Singh
  • 期刊名称:Journal of Emerging Trends in Computing and Information Sciences
  • 电子版ISSN:2079-8407
  • 出版年度:2012
  • 卷号:3
  • 期号:5
  • 页码:792-798
  • 出版社:ARPN Publishers
  • 摘要:Restoration plays a very important role in enhancing the degraded noisy images. To enhance the degraded image, the numerous algorithms have been designed. Since image processing algorithms are subjective, not all algorithms that developed will address all type of degradedness. To address specific type of problem the suitable algorithms need to be selected. In this paper a combination of spatial domain method along with set theory operations are used to enhance the historical image. The proposed method eliminates noise, uneven background and enhances the contrast of the script image. The result of the proposed method is compared with Mean and Gaussian filter. Performance of the proposed method proved to be better than these methods. The restored images will have clear uniform background and foreground with enhanced character appearance.
  • 关键词:Bilateral Filter; contrast Enhancement; Denoising; Degraded Document; Historical; Spatial Domain
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