Research on Improved Spline Interpolation Algorithm in Super-Resolution Reconstruction of Video Image

Abstract:

When low-spline interpolation algorithm is adopted by super-resolution reconstruction for video images, there are some defects, such as saw tooth and blur edge, if the result image is magnified. In this paper, high-order spline interpolation algorithm is introduced and it is optimized. Firstly, the common low-spline interpolation algorithms are analyzed and their shortcomings are pointed out. Then cubic spline interpolation algorithm is discussed. If the image is rotated by cubic spline interpolation algorithm, the magnified image may be not correctly displayed and the image can not be registered in super-resolution reconstruction. Finally, the cubic spline algorithm has been improved. Experimental results show that the improved cubic spline interpolation algorithm can not only eliminate the edge blur and saw tooth, but also do registration in reconstruction when image is rotating.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 3722-3725
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.3722
• Online since: August 2013
• Authors: Xiang Hua Hou, Hong Hai Liu
• Keywords: Image Registration, Spline Interpolation, Super-Resolution Reconstruction

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