[IPOL announce] new article: Structural Similarity Metrics for Quality Image Fusion Assessment: Algorithms

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2018/196/

Silvina Pistonesi, Jorge Martinez, Silvia Maria Ojeda, and Ronny Vallejos,
Structural Similarity Metrics for Quality Image Fusion Assessment: 
Algorithms,
Image Processing On Line, 8 (2018), pp. 345–368.
https://doi.org/10.5201/ipol.2018.196

Abstract
The wide use of image fusion techniques in different fields such as 
medical diagnostics, digital camera vision, military and surveillance 
applications, among others, has motivated the development of various 
image quality fusion metrics, in order to evaluate them. In this paper, 
we study and implement the algorithms of non-reference image structural 
similarity based metrics for fusion assessment: Piella's metric, 
Cvejic's metric, Yang's metric, and Codispersion Fusion Quality metric. 
We conduct the comparative experiment of the selected image fusion 
metrics over four multiresolution image fusion algorithms, performed on 
different pairs of images used in different applications.