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Newton Interpolation for Quincunx Arrayed Image

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

저자정보

  • Gwanggil Jeon Department of Embedded Systems Engineering, Incheon National University

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