원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.8 No.7
2014.07
pp.1-12
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, we use Newton’s polynomial for image upsampling, especially quincunx arrayed image. The Newton interpolation is entitled after its inventor Isaac Newton, which is polynomial for a provided set of data points. This formula is important because Newton interpolation is a simplified version of Taylor interpolation. The only difference is Newton polynomial used finite differences. Simulation results are provided. Three conventional methods such as nearest neighbor, bilinear and bicubic are compared with the proposed method. It can be concluded that the proposed method yields the best performance.
목차
Abstract
1. Introduction
2. Newton’s Polynomial and Its Application to Quincunx Arrayed Image
3. Experimental Results
4. Conclusions
Acknowledgements
References
1. Introduction
2. Newton’s Polynomial and Its Application to Quincunx Arrayed Image
3. Experimental Results
4. Conclusions
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보
