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

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Hauptverfasser: Costarelli, Danilo, Sambucini, Anna Rita
Format: Preprint
Veröffentlicht: 2023
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author Costarelli, Danilo
Sambucini, Anna Rita
author_facet Costarelli, Danilo
Sambucini, Anna Rita
contents The aim of this paper is to present a comparison among 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 so-called sampling Kantorovich (SK) one. Note that, the SK algorithm is a recent tool for image rescaling and enhancement that revealed to be useful in several applications to real world problems, while bicubic algorithm is widely known in the literature. The comparison among the above mentioned algorithms (all implemented by MatLab programming language) has been done in term of suitable similarity indexes such as the Peak-Signal-to-Noise-Ratio (PSNR) and the likelihood index $S$. Moreover, also the CPU time of the considered algorithms has been analysed.
format Preprint
id arxiv_https___arxiv_org_abs_2311_14545
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A comparison among a fuzzy algorithm for image rescaling with other methods of digital image processing
Costarelli, Danilo
Sambucini, Anna Rita
Functional Analysis
94A08, 68U10, 41A35, 41A30, 03E72
The aim of this paper is to present a comparison among 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 so-called sampling Kantorovich (SK) one. Note that, the SK algorithm is a recent tool for image rescaling and enhancement that revealed to be useful in several applications to real world problems, while bicubic algorithm is widely known in the literature. The comparison among the above mentioned algorithms (all implemented by MatLab programming language) has been done in term of suitable similarity indexes such as the Peak-Signal-to-Noise-Ratio (PSNR) and the likelihood index $S$. Moreover, also the CPU time of the considered algorithms has been analysed.
title A comparison among a fuzzy algorithm for image rescaling with other methods of digital image processing
topic Functional Analysis
94A08, 68U10, 41A35, 41A30, 03E72
url https://arxiv.org/abs/2311.14545