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Local distance and dempster-dhafer for multi-focus image fusion
Ias Sri I. S. Wahyuni, Rachid Sabre

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

Author / Organization:
Science & Mathematics Published 2022 Verification Pending

Overview & Synopsis

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.

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Document Information

Document Title Local distance and dempster-dhafer for multi-focus image fusion
Author / Organization Ias Sri I. S. Wahyuni, Rachid Sabre
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-63102
Original Source Link Visit Source Page on hal.science »