원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.5 No.3
2012.07
pp.33-40
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
1. Introduction
2. NL-means Filter Methods
3. The Fast 2DPCA based NL-means Filter
4. Experimental Results
5. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보