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Image Interpolation via Gaussian-Sinc Interpolators with Partition of Unity
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
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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.Keywords
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APA Style
Xu, G., Ling, R., Deng, L., Wu, Q., Ma, W. (2020). Image interpolation via gaussian-sinc interpolators with partition of unity. Computers, Materials & Continua, 62(1), 309-319. https://doi.org/10.32604/cmc.2020.06509
Vancouver Style
Xu G, Ling R, Deng L, Wu Q, Ma W. Image interpolation via gaussian-sinc interpolators with partition of unity. Comput Mater Contin. 2020;62(1):309-319 https://doi.org/10.32604/cmc.2020.06509
IEEE Style
G. Xu, R. Ling, L. Deng, Q. Wu, and W. Ma, “Image Interpolation via Gaussian-Sinc Interpolators with Partition of Unity,” Comput. Mater. Contin., vol. 62, no. 1, pp. 309-319, 2020. https://doi.org/10.32604/cmc.2020.06509
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Copyright © 2020 The Author(s). Published by Tech Science Press.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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