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 …

In this paper, a novel fusion algorithm based on the adaptive dual-channel unit-linking pulse
coupled neural network (PCNN) for infrared and visible images fusion in nonsubsampled …

The purpose of image fusion is to combine the source images of the same scene into a
single composite image with more useful information and much better visual effects, which is …

The issue of visible light and infrared images fusion has been an active topic in both military
and civilian areas, and a great many relevant algorithms and techniques have been …

Image fusion is a process of combining complementary information from multiple images of
the same scene into an image, so that the resultant image contains a more accurate …

Multimodality medical image fusion plays a vital role in diagnosis, treatment planning, and
follow-up studies of various diseases. It provides a composite image containing critical …

In this paper, a novel multi-focus image fusion approach is presented. Firstly, a joint
dictionary is constructed by combining several sub-dictionaries which are adaptively learned …

Image fusion is a useful context in image processing. It goals to produce more informative
image using multi-image data with different sensors. In this study, an effective approach in …

Multi-focus image fusion is a technique of combining two images of the same scene with
diverse focuses into a single image. The single fused image has greater depth of field than …

To get a better fused performance in the multi-focus image fusion based on a transform
domain, a new multi-focus image algorithm combined with the adaptive dual-channel …