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 …

A survey of multi-focus image fusion methods

Y Zhou, L Yu, C Zhi, C Huang, S Wang, M Zhu, Z Ke… - Applied Sciences, 2022 - mdpi.com
As an important branch in the field of image fusion, the multi-focus image fusion technique
can effectively solve the problem of optical lens depth of field, making two or more partially …

Laplacian redecomposition for multimodal medical image fusion

X Li, X Guo, P Han, X Wang, H Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The field of multimodal medical image fusion has made huge progress in the past decade.
However, previous methods always suffer from color distortion, blurring, and noise. To …

A novel approach based on grasshopper optimization algorithm for medical image fusion

PH Dinh - Expert Systems with Applications, 2021 - Elsevier
The fusion of multi-modal medical images makes a significant contribution to clinical
diagnosis and analysis because it allows diagnostic imaging practitioners to make a more …

Multi-modal medical image fusion based on two-scale image decomposition and sparse representation

S Maqsood, U Javed - Biomedical Signal Processing and Control, 2020 - Elsevier
Multimodality image fusion is the hot topic in medical imaging field which increases the
clinical diagnosis accuracy through fusing complementary information of multimodality …

Multi-modal medical image fusion based on equilibrium optimizer algorithm and local energy functions

PH Dinh - Applied Intelligence, 2021 - Springer
Multi-modal medical image fusion brings many benefits to clinical diagnosis and analysis
because it creates favorable conditions for diagnostic imaging practitioners to make a more …

A novel approach based on three-scale image decomposition and marine predators algorithm for multi-modal medical image fusion

PH Dinh - Biomedical Signal Processing and Control, 2021 - Elsevier
Multi-modal medical image fusion not only creates an image that preserves important
information from the input images but also significantly improves in quality. This work …

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 …

FDGNet: A pair feature difference guided network for multimodal medical image fusion

G Zhang, R Nie, J Cao, L Chen, Y Zhu - Biomedical Signal Processing and …, 2023 - Elsevier
Most multimodal medical image fusion (MMIF) methods suffer from insufficient
complementary feature extraction and luminance degradation, such that the fused results …