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 is a long-established and well-known study area of digital image processing.
The reason is its substantial approach in several practical applications in which multi-focus …

Multi-focus image fusion combines the focused parts of multiple images of the same scene
to generate a fully focused image. Dual Channel Pulse coupled neural network (DCPCNN) …

Multimodal medical image fusion, emerging as a hot topic, aims to fuse images with
complementary multi-source information. In this paper, we propose a novel multimodal …

The goal of multi-focus image fusion (MFIF) is to create a single, unified image from multiple
images of the same scene with varying depths of focus of foreground and background …

Multi-modal medical image fusion (MMIF) integrates medical images of different modalities
into an image with rich information to boost the accuracy and efficiency of clinical diagnosis …

The key issue of multi-sensor image fusion is how to accurately extract and fuse the high-
quality pixels or coefficients of source images. Nevertheless, the so-called high-quality is an …

Multimodal medical image fusion (MMIF) technology can effectively improve the efficiency
and accuracy of doctors in clinical diagnosis and treatment by combining different modes of …

This study focuses on vessel target detection by fusing synthetic aperture radar (SAR)
remote sensing images collaboratively collected from spaceborne and airborne platforms …

Multi-focus image fusion is defined as “the combination of a group of partially focused
images of a same scene with the objective of producing a fully focused image.” Normally …