Volume 12, Number 09, May 2022

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

  Authors

Rachid Sabre¹ and Ias Sri Wahyuni², ¹Laboratory Biogéosciences CNRS, University of Burgundy/Agrosup Dijon, France, ²Universitas Gunadarma, Indonesia

  Abstract

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.

  Keywords

Multi-focus-images, Dempster-Shafer, distance, Alpha-Stable.