In this paper, we present a novel objective non-reference performance assessment
algorithm for image fusion. It takes into account local measurements to estimate how well the …

In this paper, we present a novel objective nonreference performance assessment algorithm
for image fusion. It takes into account local measurements to estimate how well the important …

Measuring the quality of fused images is a very important stage for image fusion
applications. The fused image must comprise maximum information from each of source …

We present three variants of a new quality metric for image fusion. The interest of our
metrics, which are based on an image quality index recently introduced by Wang and Bovik …

Objective evaluations of fused images are important in comparing the performance of
different image fusion algorithms. This paper describes a structural similarity metric that does …

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 …

An objective image quality assessment method for image fusion based on mutual
information and multi-scale structural similarity is presented. A simplified formula was …

While recently a few image fusion quality measures have been proposed, analytical studies
of these measures have been lacking. Here, we focus on one popular mutual information …

In the past few decades, image fusion and its performance evaluation have attracted
considerable research attention. However, it is still hard to objectively evaluate the fusion …

Image fusion is a proven value adding technique for image analysis. Automated image
fusion aims to give the fusion system the ability to select, analyze and evaluate fusion-worthy …