Multi-focus image fusion: A survey of the state of the art

Y Liu, L Wang, J Cheng, C Li, X Chen - Information Fusion, 2020 - Elsevier
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 …

Fusing synergistic information from multi-sensor images: an overview from implementation to performance assessment

Z Liu, E Blasch, G Bhatnagar, V John, W Wu, RS Blum - Information Fusion, 2018 - Elsevier
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 …

Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure

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 …

Medical image fusion and denoising with alternating sequential filter and adaptive fractional order total variation

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 …

Discriminative dictionary learning-based multiple component decomposition for detail-preserving noisy image fusion

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 …

A guide to the TV zoo

M Burger, ACG Mennucci, S Osher, M Rumpf… - Level Set and PDE …, 2013 - Springer
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 …

Statistical comparison of image fusion algorithms: Recommendations

Z Liu, E Blasch, V John - Information Fusion, 2017 - Elsevier
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 …

Noise-robust image fusion with low-rank sparse decomposition guided by external patch prior

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 …

A variational-based fusion model for non-uniform illumination image enhancement via contrast optimization and color correction

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 …

[HTML][HTML] A multimodal graph recommendation method based on cross-attention fusion

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 …