期刊文献+

一种基于偏微分方程的图像去噪方法 被引量:6

An image denoising method based on partial differential equations
原文传递
导出
摘要 为有效去噪,基于全变分及四阶偏微分方程图像去噪模型,提出一种图像综合去噪模型.该模型克服了全变分去噪模型带来的块效应以及四阶偏微分方程去噪模型在处理平滑区域时带来的不平坦现象.仿真结果表明,图像清晰度有了较大改善. An integrated image denoising model was proposed based on total variation(TV) and the fourth-order partial differential equations(PDEs) denoising models to remove noises effectively.The model overcomes blocky effect which is inherent in the TV denoising model,while avoids the uneven phenomenon in the smooth region which is inherent in the improved fourth-order PDEs.Simulation results show that the fidelity of the image is improved a lot.
出处 《大连海事大学学报》 CAS CSCD 北大核心 2010年第4期107-110,共4页 Journal of Dalian Maritime University
关键词 图像去噪 偏微分方程(PDE) 全变分 中值滤波 image denoising partial differential denoising(PDE) total variation median filter
  • 相关文献

参考文献10

  • 1GONZALEZ R C.数字图像处理[M].第2版.阮秋琦,阮宇智,译.北京:电子工业出版社,2004.
  • 2CASTLEMANKR.数字图像处理[M].北京:电子工业出版社,2002..
  • 3肖亮,吴慧中,韦志辉,汤淑春.基于总体变差模型的数字滤波器设计及其性能研究[J].信号处理,2003,19(3):247-251. 被引量:9
  • 4WITKIN A P. Scale-space filtering[C]// Proc 8th Int Joint Conf Art Intell, Karlsruhe, Germany: [s. n. ]. 1983: 1019- 1022.
  • 5PERONA P, MALIK J. Scale-space and edge detection using anistropie diffusion [ J 1- IEEE Trans Pattern Analysis and Machine Intelligence, 1990, 12(7): 629-649.
  • 6RUDIN L, OSHER S, FATEMI E. Nonlinear total variation based noise removal algorithm[J].Physica D: Nonlinear Phenomena, 1992, 60(1-4) : 259-268.
  • 7LYSAKER M, LUNDERVOLD A, TAI X C. Noise removalusing fourth-order partial differential equation with application to medical magnetic resonance images in space and time[J]. IEEE Transactions on Image Processing, 2003, 12(12) : 1579-1590.
  • 8LYSAKER M, OSHER S, TAI X C. Noise removalusing smoothed normals and surface fitting[J]. IEEE Transactions on Image Processing, 2004, 13(10) : 1345-1357.
  • 9CHAN T, MARQUINA A, MULET P. High-order total variation-based image restoration[J].SIAM Journal on Scientific Computation, 2000, 22(2): 503-516.
  • 10YOU Y L, KAVEH M. Fourth-order partial differential equations for noise removal[J]. IEEE Transactions on Image Processing, 2000(9) :1723-1730.

二级参考文献7

  • 1Ping liang,Y F Wang. Local scale controlled anisotropic diffusion with local noise estimate for image smoothing and edge detection. In the Proceedings of 6th International Conference on Computer Vision,1998.193-220.
  • 2Rudin L, Osher S, Fatemi E. Nonlinear total variation based noise removel algorithms. Physica D,1992, 60:259-268. 3.
  • 3Tony chan, Jianhong Shan, Mathematical models for local non-texture inpainting,. SIAM. Applied Mathematical,2001, 62(3): 1019-1043.
  • 4Cobson D, Vogel C. Convergence of an iterative method for total variation denoising. SIAM Journal of Numerical Analysis, 1997, 34(5): 1779-1791.
  • 5Chambolle A, Lions P.Image recovery via total variational minimization and related problem. Numerical Mathmatica, 1997,76:167-188.
  • 6Tony Echan. The dgital TV filter and nonlinear denoising.IEEE Transaction on Image Processing, 2001, 10(2):231-241.
  • 7Y.Meyer. Oscillating patterns in image processing and non-linear evolutions. University Lecture Series, 22,AIMS, 2002.

共引文献50

同被引文献31

引证文献6

二级引证文献7

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