Image fusion is capable of processing multiple heterogeneous images acquired by single or multi-sensor imaging systems for an improved interpretation of the targeted object or scene …
J Tian, L Chen - Signal Processing, 2012 - Elsevier
Multi-focus image fusion aims to combine a set of images that are captured from the same scene but with different focuses for producing another sharper image. The critical issue in …
W Zhao, H Lu - IEEE Transactions on Instrumentation and …, 2017 - ieeexplore.ieee.org
Medical image fusion aims at integrating information from multimodality medical images to obtain a more complete and accurate description of the same object, which provides an …
H Li, Y Wang, Z Yang, R Wang, X Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
How to effectively preserve the fine-scale details of the image when noises are suppressed is one of the great challenges faced by scholars in the field of noisy image fusion. The …
Total variation methods and similar approaches based on regularizations with ℓ 1-type norms (and seminorms) have become a very popular tool in image processing and inverse …
Pixel-level image fusion has been applied in a variety of applications, including multi-modal medical imaging, remote sensing, industrial inspection, video surveillance, and night vision …
H Li, X He, Z Yu, J Luo - Information Sciences, 2020 - Elsevier
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 …
QC Tian, LD Cohen - Signal Processing, 2018 - Elsevier
Non-uniform illumination images are of limited visibility due to under-exposure, over- exposure, or a combination of these two factors. Enhancing these images is a very …
K Li, L Xu, C Zhu, K Zhang - Mathematics, 2024 - mdpi.com
Research on recommendation methods using multimodal graph information presents a significant challenge within the realm of information services. Prior studies in this area have …