Visual efficiency of image fusion methods

The objective of image fusion is to represent relevant information from multiple individual images in a single image. Some fusion methods may represent important visual information more distinctively than others, thereby conveying it more efficiently to the human observer. Here, we propose to rank order images fused by different methods...

Empirical case-studies of state fusion via ellipsoidal intersection

This article presents a practical assessment of the recently developed state fusion method ellipsoidal intersection and focusses on distributed state estimation in sensor networks. It was already proven that this fusion method combines strong fundamental properties with attractive features in accuracy and computational requirements. However,...

State fusion with unknown correlation: Ellipsoidal intersection

Some crucial challenges of estimation over sensor networks are reaching consensus on the estimates of different systems in the network and separating the mutual information of two estimates from their exclusive information. Current fusion methods of two estimates tend to bypass the mutual information and directly optimize the fused estimate....

Towards cognitive image fusion

The increasing availability and deployment of imaging sensors operating in multiple spectral bands has led to a large research effort in image fusion, resulting in a plethora of pixel-level image fusion algorithms. However, the cognitive aspects of multisensor image fusion have not received much attention in the development of these methods. In...