Multi-focus image fusion is an effective technique to extend the depth-of-field of optical
lenses by creating an all-in-focus image from a set of partially focused images of the same …

Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

The images captured by the cameras contain distortions, misclassified pixels, uncertainties
and poor contrast. Therefore, the multi-focus image fusion (MFIF) integrates various input …

Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …

Abstract Multi-Focus Image Fusion (MFIF) is a method that combines two or more source
images to obtain a single image which is focused, has improved quality and more …

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 …

The key aim of Multi-focus Image Fusion (MFIF) is to gather all the necessary and useful
information as well as features from the source images and then merge that information to …

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

In recent years, there has been a growing demand for miniaturization, low power
consumption, quick treatments, and non-invasive clinical strategies in the healthcare …

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 …