Spatial resolution is the ability to distinguish the spatial details of remote sensing images,
and high spatial resolution images are conducive to object recognition and visual …

Medical image fusion has made great progress benefit from strong feature association ability
of joint sparse model. Since medical images are obtained by different sensors with different …

Multi-focus image fusion (MFF) is a popular technique to generate an all-in-focus image,
where all objects in the scene are sharp. However, existing methods pay little attention to …

Multi-modality image fusion refers to integrating series of images acquired from different
sensors and obtaining a fused image which is expected to provide more comprehensive …

Medical image fusion is a technology of combining multi‐modal images to generate a
composite image, which is favorable to improve the capability of doctors in diagnosis and …

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 …

Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …

It is challenging to simultaneously achieve noise suppression and fine detail preservation in
noisy image fusion. To address this challenge, we propose a novel strategy for noisy image …

An effective multi-focus image fusion method is proposed to generate an all-in-focus image
with all objects in focus by merging multiple images. The proposed method first estimates …

Over the last two decades, radiologists have been using multi-view images to detect tumors.
Computer Tomography (CT) imaging is considered as one of the reliable imaging …