2020
DOI: 10.1109/access.2020.3002387
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Rational Bi-Quartic Spline With Six Parameters for Surface Interpolation With Application in Image Enlargement

Abstract: A new rational bi-quartic spline interpolation scheme is constructed in this study. This rational bi-quartic spline has six free parameters that can be used to refine the final interpolating surface. The degree of smoothness attained is C 1 continuity. Image interpolation is one of the methods in image processing that is used to rescale the images, either downscaling or upscaling. The proposed rational bi-quartic spline will be used to interpolate the missing pixel in image interpolation. We employ an algorith… Show more

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Cited by 14 publications
(4 citation statements)
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“…In terms of application in computer graphics, the resulting curves are smooth and highly suitable in designing any computer graphics shape and model. One possible future extension is the generalization of the proposed subdivision scheme in scattered data interpolation and image interpolation problems [33,34].…”
Section: Discussionmentioning
confidence: 99%
“…In terms of application in computer graphics, the resulting curves are smooth and highly suitable in designing any computer graphics shape and model. One possible future extension is the generalization of the proposed subdivision scheme in scattered data interpolation and image interpolation problems [33,34].…”
Section: Discussionmentioning
confidence: 99%
“…This will increase the resolution when we deal with the upscaling images especially for RGB type images. Future studies will be focusing on the application of the proposed subdivision scheme in RGB image interpolation such as fruit and medical imaging images [11,12].…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, it can also be observed from Tables 2, 4, 6 and 8 that this technique is efficient because it needed fewer iterations to obtain the subdivision depths of the scheme within the user-defined error tolerance. Furthermore, other possible extensions are in image processing and scattered data interpolation [47][48][49].…”
Section: Discussionmentioning
confidence: 99%