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  • 标题:Color Texture Image Inpainting Using the Non Local CTV Model
  • 本地全文:下载
  • 作者:Jinming Duan ; Zhenkuan Pan ; Wangquan Liu
  • 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:04
  • 期号:03
  • 页码:43-51
  • DOI:10.4236/jsip.2013.43B008
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:The classical TV (Total Variation) model has been applied to gray texture image denoising and inpainting previously based on the non local operators, but such model can not be directly used to color texture image inpainting due to coupling of different image layers in color images. In order to solve the inpainting problem for color texture images effectively, we propose a non local CTV (Color Total Variation) model. Technically, the proposed model is an extension of local TV model for gray images but we take account of the coupling of different layers in color images and make use of concepts of the non-local operators. As the coupling of different layers for color images in the proposed model will in-crease computational complexity, we also design a fast Split Bregman algorithm. Finally, some numerical experiments are conducted to validate the performance of the proposed model and its algorithm.
  • 关键词:Color Texture Images; Image Inpainting; NL-CTV Model; TV Model; The Split Bregman Algorithm
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