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Image Interpolation via Gaussian-Sinc Interpolators with Partition of Unity

Gang Xu1, *, Ran Ling1, Lishan Deng1, Qing Wu1, Weiyin Ma2

1 School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China.
2 Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong

* Corresponding Author: Gang Xu. Email: .

Computers, Materials & Continua 2020, 62(1), 309-319. https://doi.org/10.32604/cmc.2020.06509

Abstract

In this paper, we propose a novel image interpolation method by using Gaussian-Sinc automatic interpolators with partition of unity property. A comprehensive comparison is made with classical image interpolation methods, such as the bicubic interpolation, Lanczos interpolation, cubic Schaum interpolation, cubic B-spline interpolation and cubic Moms interpolation. The experimental results show the effectiveness of the improved image interpolation method via some image quality metrics such as PSNR and SSIM.

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Cite This Article

G. Xu, R. Ling, L. Deng, Q. Wu and W. Ma, "Image interpolation via gaussian-sinc interpolators with partition of unity," Computers, Materials & Continua, vol. 62, no.1, pp. 309–319, 2020.

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This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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