期刊文献+

改进的NSCT图像修复算法研究 被引量:1

Research on Improved NSCT Image Inpainting Algorithm
原文传递
导出
摘要 为了提升数字图像修复算法的效果,改进了NSCT图像修复算法,提出领域方差法及领域能量法,更好地实现了待修复区域周围的像素信息提取,改进了优先权值公式,优化了图像修复顺序.通过实验结果及分析表明,与其他方法相比,改进算法取得了更好地修复效果,有效的克服了Criminisi算法中的锯齿效应. In order to improve the effect of digital image inpainting algorithm, In this pa- per, NSCT image inpaint ing algorthm is improved, propose neighbourhood variance method and neighbourhood energy method, better implementation of the pixel information extrac- tion around the area to be repaired, improved formula of priority weight, optimized image inpainting sequence. The experimental results and analysis show that, compared with other methods, the improved algorithm has a better repair effect, it effectively overcomes the sawtooth effect in Criminisi algorithm.
作者 李博文 白艳萍 LI Bo-wen;BAI Yan-ping(School of Science, North University of China, Taiyuan 030051, China)
机构地区 中北大学理学院
出处 《数学的实践与认识》 北大核心 2018年第2期88-98,共11页 Mathematics in Practice and Theory
基金 国家自然科学基金(61774137) 山西省自然科学基金(201701D22111439,201701D221121) 山西省回国留学人员科研项目(2016-088)
关键词 图像修复 NSCT 领域方差 领域能量 image inpainting nonsubsampled contourlet transform(NSCT) neighbourhood variance neighbourhood energy
  • 相关文献

参考文献3

二级参考文献35

  • 1朱晓临,陈晓冬,朱园珠,陈嫚,李雪艳.基于显著结构重构与纹理合成的图像修复算法[J].图学学报,2014,35(3):336-342. 被引量:12
  • 2白会人,李维仁.测量平差中粗差的一次范数最小的处理方法[J].吉林建筑工程学院学报,2003,20(4):6-8. 被引量:7
  • 3Pei S C, Zeng Yichong, Chang C H. Virtual restoration of ancient Chinese paintings using color contrast enhancement and lacuna texture synthesis [J]. IEEE Transactions on Image Processing, 2004, 13(3): 416-429.
  • 4Criminisi A, Perez P, Toyama K. Region filling and object removal by exemplar-based image inpainting [J]. IEEE. Transactions on Image Processing, 2004, 13(9): 1200-1212.
  • 5Cheng Wenhuang, Hsieh C W, Lin Shengkai, et al. Robust algorithm for exemplar-based image inpainting [EB/OL]. [2009-10-13]. http://graphics.csie.ntu. edu.tw/media/publications/Cheng-2005-RAE.pdf, 2005.
  • 6Wang Shuwen, Xu Yongsheng. Improvement of priority computation in exemplar-based image inpainting base on D-S evidence theory and TV model [C]//Proceedings of the 2nd International Congress on Image and Signal Processing. Washington D C: IEEE Computer Society Press, 2009: 1-3.
  • 7Anupam, Goyal P, Diwakar S. Fast and enhanced algorithm for exemplar based image inpainting [C]//2010 Fourth Pacific-Rim Symposium on Image and Video Technology. Nanyang Technological University, Singapore: IEEE Computer Society Press, 2010: 325-330.
  • 8Bertalmio M, Sapiro G, Caselles V, et al. Image inpainting [C]//Proceedings of International Conference on Computer Graphics and Interactive Techniques, New Orleans, Louisiana, USA, 2000: 417-424.
  • 9Chan T F, Shen Jianhong. Mathematical models for local nontexture inpaintings [J]. SIAM Journal on Applied Mathematics, 2002, 62(3): 1019-1043.
  • 10Chan T F, Shen Jianhong. Non-texture inpainting by curvature-driven diffusions (CDD) [J]. Journal of Visual Communication and Image Representation, 2001, 12(4): 436-449.

共引文献6

同被引文献14

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部