A comparison among a fuzzy algorithm for image rescaling with other methods of digital image processing

Year 2024, Volume: 7 Issue: 2, 45 - 68, 15.06.2024

Danilo Costarellı , Anna Rita Sambucını

https://doi.org/10.33205/cma.1467369

Cited By: 4

Abstract

The aim of this paper is to compare the fuzzy-type algorithm for image rescaling introduced by Jurio et al., 2011, quoted in the list of references, with some other existing algorithms such as the classical bicubic algorithm and the sampling Kantorovich (SK) one. Note that the SK algorithm is a recent tool for image rescaling and enhancement that has been revealed to be useful in several applications to real world problems, while the bicubic algorithm is widely known in the literature. A comparison among the abovementioned algorithms (all implemented in the MatLab programming language) was performed in terms of suitable similarity indices such as the Peak-Signal-to-Noise-Ratio (PSNR) and the likelihood index $S$.

Keywords

Fuzzy-type algorithm, SK algorithm, bicubic algorithm, PSNR, S index, image magnification

Supporting Institution

GNAMPA, University of Perugia

Project Number

Grant N.: 2022ZXZTN2, CUP J53D23003920006; Grant ECS00000041 - VITALITY; Project Code: P20229SH29, CUP: J53D23015950001;

Thanks

This research has been accomplished within the European Union under the Italian National Recovery and Resilience Plan (NRRP) of NextGenerationEU, under the MUR UMI Group TAA- “Approximation Theory and Applications”, the group RITA - "Research ITalian network on Approximation", the G.N.AM.P.A. group of INDAM and the University of Perugia.

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