In this paper we study the performance of the sampling Kantorovich (S-K) algorithm for image processing with other well-known interpolation and quasi-interpolation methods. The S-K algorithm has been implemented with three different families of kernels: central B-splines, Jackson type and Bochner-Riesz. The above method is compared, in term of PSNR (Peak Signal-to-Noise Ratio) and CPU time, with the bilinear and bicubic interpolation, the quasi FIR (Finite Impulse Response) and quasi IIR (Infinite Impulse Response) approximation. Experimental results show better performance of S-K algorithm than the considered other ones. (C) 2020 Elsevier Inc. All rights reserved.
Danilo Costarelli, Marco Seracini, Gianluca Vinti (2020). A comparison between the sampling Kantorovich algorithm for digital image processing with some interpolation and quasi-interpolation methods. APPLIED MATHEMATICS AND COMPUTATION, 374, 1-18 [10.1016/j.amc.2020.125046].
A comparison between the sampling Kantorovich algorithm for digital image processing with some interpolation and quasi-interpolation methods
Marco Seracini;
2020
Abstract
In this paper we study the performance of the sampling Kantorovich (S-K) algorithm for image processing with other well-known interpolation and quasi-interpolation methods. The S-K algorithm has been implemented with three different families of kernels: central B-splines, Jackson type and Bochner-Riesz. The above method is compared, in term of PSNR (Peak Signal-to-Noise Ratio) and CPU time, with the bilinear and bicubic interpolation, the quasi FIR (Finite Impulse Response) and quasi IIR (Infinite Impulse Response) approximation. Experimental results show better performance of S-K algorithm than the considered other ones. (C) 2020 Elsevier Inc. All rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
