Image Data Interpolation Based on Adaptive Triangulation 


Vol. 32,  No. 8, pp. 696-702, Aug.  2007


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  Abstract

This paper proposes a regional feature preserving adaptive interpolation algorithm for natural images. The algorithm can be used in resolution enhancement, arbitrary rotation and other applications of still images. The basic idea is to first scan the sample image to initialize a 2D array which records the edge direction of all four-pixel squares, and then use the array to adapt the interpolation at a higher resolution based on the edge structures. A hybrid approach of switching between bilinear and triangulation-based interpolation is proposed to reduce the overall computational complexity. The experiments demonstrate our adaptive interpolation and show higher PSNR results of about max 2 dB than other traditional interpolation algorithms.

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  Cite this article

[IEEE Style]

H. Xu, J. Lee, J. Hwang, "Image Data Interpolation Based on Adaptive Triangulation," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 8, pp. 696-702, 2007. DOI: .

[ACM Style]

Huan-Chun Xu, Jung-Sik Lee, and Jae-Jeong Hwang. 2007. Image Data Interpolation Based on Adaptive Triangulation. The Journal of Korean Institute of Communications and Information Sciences, 32, 8, (2007), 696-702. DOI: .

[KICS Style]

Huan-Chun Xu, Jung-Sik Lee, Jae-Jeong Hwang, "Image Data Interpolation Based on Adaptive Triangulation," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 8, pp. 696-702, 8. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880