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基于GM(1,1)预测的残缺图像的修复算法 被引量:2

Image Inpainting Algorithm Based on Prediction of GM(1,1)
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摘要 在分析图像传输数据丢失的原因和特点的基础上,借鉴灰色预测的思想,提出了对残缺图像进行恢复的灰色预测方法,该算法基本满足了图像恢复的要求,并通过实验得到了该算法的适用条件。 Based on the analysis of the reasons and the features of the data loss when images are transferred,the paper makes use of the idea of the grey prediction and comes up with a new algorithm when images are repared.The new algorithm is to apply the grey prediction method to image inpainting,which basically meets the needs of image restoration and attains the applicable conditons for the algorithm through the experiments.
机构地区 安徽科技学院
出处 《计算机系统应用》 2011年第4期173-176,共4页 Computer Systems & Applications
基金 安徽省教育厅自然科学研究项目(KJ2009B121Z kj2010B296) 安徽科技学院自然科学研究项目(ZRC2008180)
关键词 图像 修复 灰色预测 算法 image reparation grey prediction algorithm
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  • 1丁进宝,周耀文.等斜率灰色聚类法与化工区土壤环境质量评价[J].化工环保,1993,13(1):45-49. 被引量:22
  • 2张松滨,马晓波.环境质量评价中的共原点灰色聚类法[J].化工环保,1994,14(5):305-309. 被引量:14
  • 3[1]Esedoglu S, Shen J H. Digital inpainting based on the Mumford-Shah-Euler image model [J]. European Journal of Applied Mathematics, 2002,13 (4):353-370. 被引量:1
  • 4[2]Alvarez L, Lions P L, Morel J M. Image selective smoothing and edge detection by nonlinear diffusion (Ⅱ) [J]. SIAM Journal of Numerical Analysis,1992,29:845-866. 被引量:1
  • 5[3]Chan T F, Shen J H. Morphologically invariant PDE inpaintings [D]. Los Angels: Univ o f California,2001. 被引量:1
  • 6[4]Catte F, Coll T, Lions P L, et al. Image selective smoothing and edge detection by nonlinear diffusion[J]. SIAM Journal of Numerical Analysis, 1992,29:182-193. 被引量:1
  • 7[5]Chan TF, Shen J H. Non-textureinpaintingbycurvature-driven diffusion (COD) [D]. Los Angels:Univ of California, 2000. 被引量:1
  • 8[6]Chen Y, Vemuri B C, Wang L. Image denoising and segmentation via nonlinear diffusion [D]. Los Angels: Univ of California,1998. 被引量:1
  • 9[7]Osher S, Sethian J. Fronts propagating with curva ture-dependent speed: Algorithms based on Hamilton-Jacobi formulations [J]. Journal of Computational Physics, 1988,79: 13- 49. 被引量:1
  • 10[1]Chan T, Shen F. Mathematical Models for Local Non-texture Inpaintings [J]. SIAM Journal on Applied Mathematics, 2002, 62: 1019-1043. 被引量:1

共引文献167

同被引文献29

  • 1屈磊,韦穗,梁栋,王年.快速自适应模板图像修复算法[J].中国图象图形学报,2008,13(1):24-28. 被引量:13
  • 2刘法贵.灰色数学及其应用[M].开封:河南大学出版社,2002.21-88. 被引量:12
  • 3马苗,田红鹏,张艳宁.灰色理论在图像工程中的应用研究进展[J].中国图象图形学报,2007,12(11):1943-1951. 被引量:32
  • 4Bertalmio M,Sapiro G,Caselles V,et al.Image Inpainting[C]//Proc.of ACM SIGGRAPH Conference on Computer Graphics.New York,USA:ACM Press,2000:417-424. 被引量:1
  • 5Chan T F,Shen J.Non-texture Inpainting by Curvaturedriven Diffusions (CDD)[J].Journal of Visual Communication Image Representation,2001,12 (4):436-449. 被引量:1
  • 6Chan T F,Shen J.Mathematical Models of Local Nontexture Inpaintings[J].SIAM Journal of Applied Mathematics,2002,62 (3):1019-1043. 被引量:1
  • 7Telen A.An Image Inpainting Technique Based on the Fast Marching Method[J].Journal of Graphics Tools,2004,9(1):25-36. 被引量:1
  • 8Criminisi A,Perez P,Toyama K.Object Removal by Exemplar-based Inpainting[C]//Proc.of IEEE Computer Scoiety Conference on Computer Vision and Pattern Recognition.[S.1.]:IEEE Press,2003:18-20. 被引量:1
  • 9Bertalmio M,Vese L,Sapiro G,et al.Simultaneous Structure and Texture Image Inpainting[J].IEEE Transactions on Computer Vision,2003,12 (8):882-889. 被引量:1
  • 10Deng Julong.Control Problems of Grey Systems[J].Systems & Control Letters,1982,1 (5):288-294. 被引量:1

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