The same sensor or a number of image sensors are used to take a series of photographs in
order to gather as much data as possible about the scene. Several imaging techniques are …

Image fusion is the process in which substantial information taken through different sensors,
different exposure values and at different focus points is integrated together to generate a …

Images are fused to produce a composite image by combining key characteristics of the
source images in image fusion. It makes the fused image better for human vision and …

Medical image analysis is motivated by deep learning emergence and computation power
increase. Meanwhile, relevant deep features can significantly enhance learnable expert and …

Intuitionistic fuzzy set (IFS) theory is widely used to solve imprecise and uncertain problems,
and the similarity measure between IFSs can describe the similarity or dissimilarity degree of …

With the accelerated development of medical imaging equipment and techniques, image
fusion technology has been effectively applied for diagnosis, biopsy and radiofrequency …

Multi sensor image fusion enhances the human visual perception and machine
interpretation of the scene by integrating complementary and redundant information given …

Image fusion method can provide a high-quality image by merging the multiple features of
different source images, and how to effectively evaluate the quality (informativeness) of …

Clustering algorithms are necessary in Wireless Sensor Networks to reduce the energy
consumption of the overall nodes. The decision of which nodes are the cluster heads (CHs) …

For many multi-focus image fusion methods, fused image visual and quantitative analysis is
a challenging problem because of the presence of ringing and blurring artifacts. A high …