Earticle

초록

영어

In former work [18], we propose a scheme to more efficiently preselect similar patches for the nonlocal means filter, based on the Patch-oriented two-dimensional principal component analysis (2DPCA) technique. Although the method can yield good results, the computational complexity remains high. For this reason, in this paper we proposed an improvement of the work, which is fast and directly employs features extracted by the patch-oriented 2DPCA to compute the weights. The new approach has been tested on a commonly-used standard test image database. The results demonstrate that our method can significantly improve the denoising effect.

목차

Abstract
 1. Introduction
 2. NL-means Filter Methods
 3. The Fast 2DPCA based NL-means Filter
 4. Experimental Results
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Yuhui Zheng [ School of Computer and Software, Nanjing University of Information Science and Technology ]
• Jianwei Zhang [ College of Math and Statistics, Nanjing University of Information Science and Technology ]
• Shunfeng Wang [ College of Bin Jiang, Nanjing University of Information Science and Technology ]
• Jin Wang [ School of Computer and Software, Nanjing University of Information Science and Technology ]
• Yunjie Chen [ College of Math and Statistics, Nanjing University of Information Science and Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605