Open AccessRational bicubic Ball for image interpolation
Author(s) -
Nur Atiqah Binti Zulkifli,
Samsul Ariffin Abdul Karim,
Afza Shafie,
Muhammad Sarfraz
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1366/1/012097
Subject(s) - bicubic interpolation , mathematics , interpolation (computer graphics) , stairstep interpolation , mean squared error , grayscale , peak signal to noise ratio , artificial intelligence , algorithm , image (mathematics) , bilinear interpolation , multivariate interpolation , computer science , statistics
In this study, a new rational bicubic Ball with six free parameters is proposed for image interpolation. These free parameters can be used to refine the shape of the surface. This rational bicubic Ball function is constructed by using tensor product approach. The proposed scheme is tested to grayscale image upscale. An efficient algorithm is employed to upscales the original image with factor 2 and 4. The effectiveness of proposed scheme is measured in terms of Peak Signal-to-Noise Ratio (PSNR), Root Mean Square Error (RMSE) and Feature SIMilarity (FSIM) index including comparison with some existing schemes. Numerical and graphical results for image interpolation are presented by using MATLAB. We found out the proposed scheme resulting with higher PSNR and FSIM and smaller in RMSE. Thus, the new rational bicubic Ball with six parameters is better than the existing schemes.