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.
A comparison among a fuzzy algorithm for image rescaling with other methods of digital image processing
Danilo CostarelliMembro del Collaboration Group
;Anna Rita Sambucini
Membro del Collaboration Group
2024
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
