Image Fusion Quality Measure Based on a Multi-scale Approach

JORGE MARTINEZ; SILVINA PISTONESI; MARIA CRISTINA MACIEL; ANA GEORGINA FLESIA

Lecture Notes in Computer Science, ISCV 2016, Part I

Springer

Lugar: Berlin; Año: 2016; p. 836 - 846

In this paper, we present a general purpose and non-reference multi-scale structural similarity measure for objective quality assessment of image fusion. We aim to extend Piella´s measure [1] in several ways, within a multi-scale approach, by making multiple Piella´s measure image evaluations at different image scales, fusing the result into a single evaluation.The main advantage of multi-scale methods lies in its ability to capture the relevant and useful image information at different resolutions.We validated our proposal in different imaging application scenarios, particularly in a 2015 multi-exposure image fusion database that provides human subjective evaluations. Experimental results show that our approach achieves a high correlation with the subjective scores provided by the database and makes a significant improvement over the previous Piella´s single-scale fusion quality measure.