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 …

Multi-focus image fusion with a deep convolutional neural network

Y Liu, X Chen, H Peng, Z Wang - Information Fusion, 2017 - Elsevier
As is well known, activity level measurement and fusion rule are two crucial factors in image
fusion. For most existing fusion methods, either in spatial domain or in a transform domain …

Review of various image fusion algorithms and image fusion performance metric

S Singh, N Mittal, H Singh - Archives of Computational Methods in …, 2021 - Springer
Image fusion is the process in which substantial information taken through different sensors,
different exposure values and at different focus points is integrated together to generate a …

Image segmentation-based multi-focus image fusion through multi-scale convolutional neural network

C Du, S Gao - IEEE access, 2017 - ieeexplore.ieee.org
A decision map contains complete and clear information about the image to be fused, and
detecting the decision map is crucial to various image fusion issues, especially multi-focus …

Multi-focus image fusion with a natural enhancement via a joint multi-level deeply supervised convolutional neural network

W Zhao, D Wang, H Lu - … on Circuits and Systems for Video …, 2018 - ieeexplore.ieee.org
Common non-focused areas are often present in multi-focus images due to the limitation of
the number of focused images. This factor severely degrades the fusion quality of multi-focus …

Multi-focus image fusion based on nonsubsampled contourlet transform and residual removal

X Li, F Zhou, H Tan, Y Chen, W Zuo - Signal Processing, 2021 - Elsevier
The goal of multi-focus image fusion is to integrate all focus pixels from the source images
into the fused result and simultaneously avoid the introduction of defocused pixels …

A novel dictionary learning approach for multi-modality medical image fusion

Z Zhu, Y Chai, H Yin, Y Li, Z Liu - Neurocomputing, 2016 - Elsevier
Multi-modality medical image fusion technology can integrate the complementary
information of different modality medical images, obtain more precise, reliable and better …

Infrared and visible image fusion scheme based on NSCT and low-level visual features

H Li, H Qiu, Z Yu, Y Zhang - Infrared Physics & Technology, 2016 - Elsevier
Multi-scale transform (MST) is an efficient tool for image fusion. Recently, many fusion
methods have been developed based on different MSTs, and they have shown potential …

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 …

An image fusion method based on sparse representation and sum modified-Laplacian in NSCT domain

Y Li, Y Sun, X Huang, G Qi, M Zheng, Z Zhu - Entropy, 2018 - mdpi.com
Multi-modality image fusion provides more comprehensive and sophisticated information in
modern medical diagnosis, remote sensing, video surveillance, etc. Traditional multi-scale …