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Proceedings Paper

An improved approach to the cubic-spline interpolation
Author(s): Tsung-Ching Lin; Shao-Hua Hong; Trieu-Kien Truong; Lin Wang
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Paper Abstract

Cubic-spline interpolation (CSI) scheme is known to be designed to resample the discrete image data based on the leastsquares method with the cubic convolution interpolation (CCI) function. It is superior in performance to other interpolation functions for digital image processing. In this paper, an improved CSI scheme that combines the leastsquares method with an eight-point cubic interpolation kernel is developed in order to improve the performance of the original CSI scheme. Either the FFT/Winograd DFT or the fast direct computation algorithm can also be used to perform the circular convolution needed in this improved CSI scheme. Furthermore, its correlated image data and auto-correlated filter coefficients are also accurately calculated in this paper. Experimental results indicate that the proposed improved CSI scheme yields a much better quality of reconstructed image than existing interpolation algorithms.

Paper Details

Date Published: 26 September 2013
PDF: 6 pages
Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885606 (26 September 2013); doi: 10.1117/12.2026867
Show Author Affiliations
Tsung-Ching Lin, I-Shou Univ. (Taiwan, China)
Shao-Hua Hong, Xiamen Univ. (China)
Trieu-Kien Truong, I-Shou Univ. (Taiwan, China)
National Sun Yat-Sen Univ. (Taiwan, China)
Lin Wang, Xiamen Univ. (China)


Published in SPIE Proceedings Vol. 8856:
Applications of Digital Image Processing XXXVI
Andrew G. Tescher, Editor(s)

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