Dempster-Shafer and Alpha Stable Distance for Multi-Focus Image Fusion - Institut Agro Dijon Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Dempster-Shafer and Alpha Stable Distance for Multi-Focus Image Fusion

Résumé

The aim of multi-focus image fusion is to integrate images with different objects in focus so that obtained a single image with all objects in focus. In this paper, we present a novel multi-focus image fusion method based using Dempster-Shafer Theory and alpha stable distance. This method takes into consideration the information in the surrounding region of pixels. Indeed, at each pixel, the method exploits the local variability that is calculated from quadratic difference between the value of pixel I(x,y) and the value of all pixels that belong to its neighbourhood. Local variability is used to determine the mass function. In this work, two classes in DempsterShafer Theory are considered: blurred part and focus part. We show that our method give the significant result.
Fichier principal
Vignette du fichier
csit120923.pdf (752.82 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04038620 , version 1 (21-03-2023)

Identifiants

Citer

Rachid Sabre, Ias Sri Wahyuni. Dempster-Shafer and Alpha Stable Distance for Multi-Focus Image Fusion. 9th International Conference on Artificial Intelligence and Applications (AIAPP 2022), May 2022, Vancouver, Canada. pp.287-299, ⟨10.5121/csit.2022.120923⟩. ⟨hal-04038620⟩
20 Consultations
13 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More