Local distance and dempster-dhafer for multi-focus image fusion

Ias Sri I. S. Wahyuni (1, 2) , Rachid Sabre (3, 4)

1 Universitas Gunadarma
2 UBFC - Université Bourgogne Franche-Comté [COMUE]
3 BGS - Biogéosciences [UMR 6282]
4 Institut Agro Dijon

This work proposes a new method of fusion image using Dempster-Shafer theory and local variability (DST-LV). This method takes into account the behaviour of each pixel with its neighbours. It consists in calculating the quadratic distance between the value of the pixel I (x, y) of each point and the value of all the neighbouring pixels. Local variability is used to determine the mass function defined in DempsterShafer theory. The two classes of Dempster-Shafer theory studied are : the fuzzy part and the focused part. The results of the proposed method are significantly better when comparing them to results of other methods.

Keywords: Multi-focus-images; Dempster-Shafer Theory; local distance; fusion images.

Domains: Signal and Image processing

Ias Sri I. S. Wahyuni, Rachid Sabre. Local distance and dempster-dhafer for multi-focus image fusion. Signal & Image Processing : An International Journal, 2022, 13 (1), pp.29-43. ⟨10.5121/sipij.2022.13103⟩. ⟨hal-03774052⟩