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 …

Image fusion integrates a series of images acquired from different sensors, eg, infrared and
visible, outputting an image with richer information than either one. Traditional and recent …

As is well known, activity level measurement and fusion rule are two crucial factors in image
fusion. For most existing fusion methods, either in spatial domain or in a transform domain …

Images captured from a single or multiple imaging sensors with considerable focus or
numerous exposures of the same or different modalities do not provide all relevant …

A fast and effective image fusion method is proposed for creating a highly informative fused
image through merging multiple images. The proposed method is based on a two-scale …

Abstract The Convolutional Neural Networks (CNNs) based multi-focus image fusion
methods have recently attracted enormous attention. They greatly enhanced the constructed …

This paper proposes a pixel-wise convolutional neural network (p-CNN) that can recognize
the focused and defocused pixels in source images from its neighbourhood information for …

Multi-focus image fusion technique is an important approach to obtain a composite image
with all objects in focus. The key point of multi-focus image fusion is to develop an effective …

Image fusion is a process of generating a more informative image from a set of source
images. Major applications of image fusion are in navigation and military. Here, infrared and …

Multi-focus image fusion methods can be mainly divided into two categories: transform
domain methods and spatial domain methods. Recent emerged deep learning (DL)-based …