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文章基本信息

  • 标题:Digital Images Inpainting using Modified Convolution Based Method
  • 本地全文:下载
  • 作者:Mohiy M. Hadhoud ; Kamel. A. Moustafa ; Sameh. Z. Shenoda
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2008
  • 卷号:1
  • 期号:1
  • 出版社:SERSC
  • 摘要:Reconstruction of missing parts or scratches of digital images is an important field used extensively in artwork restoration. This restoration can be done by using two approaches, image inpainting and texture synthesis. There are many techniques for the two pervious approaches that can carry out the process optimally and accurately. In this paper the advantages and disadvantages of most algorithms of the image inpainting approach are discussed. The modification to Oliveira inpainting model is introduced. This modification produces fast and good quality with one iteration without blur and removes large object with symmetric background.
  • 关键词:image restoration; inpainting; texture synthesis
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