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基于高斯—马尔可夫随机场模型的图像修补方法研究

Study of Digital Image Inpainting Methods Based on GMRF Model
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摘要 实现基于高斯马尔可夫随机场(GMRF)模型的图像修补算法,详细讨论像素扫描顺序以及邻域大小对图像修补效果的影响。实验表明,基于GMRF的图像修补算法的性能依赖于像素扫描顺序和邻域大小的选取。 A digital image inpainting algorithm based on Gauss-Markov Random Field (GMRF) is completed. The pixel scanning order and neighborhood size is discussed in detail for the algorithm. The experiment results show that the perform- ante of inpaiuting algorithm based on GMRF model depends on the pixel scanning order and neighborhood size.
出处 《长春理工大学学报(自然科学版)》 2008年第3期46-48,共3页 Journal of Changchun University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金项目(60772153) 吉林省教育厅十一五项目(2007jyt14)
关键词 图像修补 高斯—马尔可夫随机场 邻域系统 image inpainting Gauss-Markov Random Field neighborhood system
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参考文献4

  • 1Takahiro Ogawa, Miki Haseyama,Hideo Kitajima.Restoration Method of Missing Areas in Still Images Using GMRF Model [ C ]. IEEE International Symposium on Volume, 2005,5: 4931-4934.
  • 2Iddo Drori, Daniel Cohen-Or,Hezy Yeshurun. Fragment Based Image Completion [ J ]. ACM Transactions on Graphics, 2003 , 22(3):30-312.
  • 3Siddharth Borikar,Biswas K K, Sumanta Pattanaik. Fast Algorithm for Completion of Images with Natural Scenes [ EB/OL ], 2006, http://graphics.cs.ucf.
  • 4Yasuda M, Ohkubo J, TanakaK. Digital Image Inpainting based on Markov Random Field [ C ]. Computer Science, 2005: 74-752.

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