期刊文献+

基于块缺失图像修复技术的研究与应用 被引量:4

Research and Application of Image Inpainting Based on Missing Image Blocks
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摘要 图像修复是数字图像处理的重要内容,在图像润色、视频图像复原等诸多领域都有着非常广泛的应用。该文以对图像块粗糙度的分析为依据,优化纹理合成算法,并结合JPEG算法,应用于图像压缩,使图像压缩率得到显著提高。 This paper presents an optimized approach to texture synthesis based on coarseness analysis, which reconstructs the lost image blocks with the information abstracted from the neighborhood. This method is applied to the second-time image compression along with other compression algorithms such as JPEG, and the compression ratio is highly improved.
出处 《计算机工程》 CAS CSCD 北大核心 2006年第11期206-208,共3页 Computer Engineering
关键词 图像修复 纹理合成 压缩 粗糙度 数字图像处理 Image inpainting Texture synthesis Compression Coarseness
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参考文献6

  • 1Bertalmio M, Sapiro G, Caselles V. Image Inpainting[Z], http://mountains.ece.umn.edu/-guille/Papers/Sapiro_paper-1.pdf, 2003-12.
  • 2Karu K, Jain A K, Bolle R B. Is There Any Texture in the lmage?[J].Pattern Recognit, 1996, 29(9): 1437-1446.
  • 3Rane S, Sapiro G, Bertalmio M. Structure and Texture Filling-in of Missiong Image Blocks in Wireless Transmission and Compression Applications[J]. IEEE Trans. Image Processing, 2003, 12(3): 396.
  • 4Bertalmio M, Vese V, Sapiro G. Simultaneous Structure and Texture Image Inpainting[J]. IEEE Trans. Image Processing, 2003, 12(8): 882.
  • 5Masnou S, Morel J. Level Lines Based Disocclusion[EB/OL]. http://citeseer.ist.psu.edu/masnou981evel.pdf, 2003-11.
  • 6邵肖伟,刘政凯,宋璧.一种基于TV模型的自适应图像修复方法[J].电路与系统学报,2004,9(2):113-117. 被引量:53

二级参考文献6

  • 1[1]Chan T, Shen F. Mathematical Models for Local Non-texture Inpaintings [J]. SIAM Journal on Applied Mathematics, 2002, 62: 1019-1043.
  • 2[2]Bertalmio M, et al. Image Inpainting [A]. SIGGRAPH [C]. 2000, 1: 417-424.
  • 3[3]Criminisi A, Perez P, Toyama K. Object Removal by Exemplar-Based Inpainting [J]. IEEE Proc. CVPR, 2003, 2: 721-728.
  • 4[4]Masnou S. Disocclusion: A Variational Approach Using Level Lines [J]. IEEE Trans. Image Processing, 2002, 11: 68-76.
  • 5[5]Masnou S, Morel J. Level Lines Based Disocclusion [A]. IEEE Proc. ICIP [C]. 1998, 3: 259-263.
  • 6[6]Levin A, Zomet A, Weiss Y. Learning How to Inpaint from Global Image Statistics [A]. International Conference on Computer Vision [C]. 2003, 1: 305-312.

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