期刊
MATHEMATICS
卷 7, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/math7111045
关键词
image interpolation; free parameters; image upscaling; PSNR; RMSE; FSIM
类别
资金
- Universitas Islam Riau (UIR), Pekan baru, Indonesia, through International Collaborative Research Funding (ICRF) [015ME0-037]
- Universiti Teknologi PETRONAS (UTP), Malaysia, through International Collaborative Research Funding (ICRF) [015ME0-037]
- Universiti Teknologi PETRONAS (UTP) [YUTP:0153AA-H24]
- UTP's under Graduate Assistant Scheme
This study deals with the application of new rational bi-cubic Ball function with six parameters in image interpolation, especially for the grayscale image. These six free parameters can be modified to get better and quality image resolution, and refine the shape of the interpolating surface. This bivariate rational Ball function has been extended from univariate cases by using a tensor product approach. The proposed scheme is tested for image upscaling with factors of two and four through an efficient algorithm. The effectiveness of the proposed scheme is measured by using an image quality assessment (IQA), such as peak-signal-to-noise-ratio (PSNR), root mean square error (RMSE) or feature similarity (FSIM) index. Numerical and graphical results with comparisons against some existing scheme are presented by using MATLAB. The proposed scheme resulted in higher PSNR and FSIM, and smaller RMSE. Thus, the new rational bi-cubic Ball with six parameters is better than the existing scheme via an efficient algorithm.
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