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 …

An optimal least square support vector machine based earnings prediction of blockchain financial products

M Sivaram, EL Lydia, IV Pustokhina… - IEEE …, 2020 - ieeexplore.ieee.org
The booming applications of bitcoin Blockchain technologies made investors concerned
about the return and risk of financial products. So, the return rate of bitcoin must be foreseen …

Fractal dimension based parameter adaptive dual channel PCNN for multi-focus image fusion

C Panigrahy, A Seal, NK Mahato - Optics and Lasers in Engineering, 2020 - Elsevier
Multi-focus image fusion combines the focused parts of multiple images of the same scene
to generate a fully focused image. Dual Channel Pulse coupled neural network (DCPCNN) …

Multimodal sensor medical image fusion based on nonsubsampled shearlet transform and S-PCNNs in HSV space

X Jin, G Chen, J Hou, Q Jiang, D Zhou, S Yao - Signal Processing, 2018 - Elsevier
Computational imaging plays an important role in medical treatment for providing more
comprehensive medical images. This work proposes a new scheme to fuse computed …

Fidelity-driven optimization reconstruction and details preserving guided fusion for multi-modality medical image

K He, X Zhang, D Xu, J Gong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
By integrating effective features of multi-modality medical images to provide richer
information, multi-modality medical image fusion has been substantially used in computer …

[HTML][HTML] Analysis of earnings forecast of blockchain financial products based on particle swarm optimization

W Gao, C Su - Journal of Computational and Applied Mathematics, 2020 - Elsevier
The purpose of this study is to solve the problems of large number of iterations, limitations
and poor fitting effect of traditional algorithms in predicting the yield rate of blockchain …

Modeling of EHD inkjet printing performance using soft computing-based approaches

AK Ball, R Das, SS Roy, DR Kisku, NC Murmu - Soft Computing, 2020 - Springer
Nature-inspired heuristic and/or metaheuristic algorithms have been used for solving
complex real-world problems in recent years. Electrohydrodynamic (EHD) inkjet printing is a …

Medical image fusion via PCNN based on edge preservation and improved sparse representation in NSST domain

D Gai, X Shen, H Cheng, H Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Medical image fusion integrates image features of different modalities to provide
comprehensive information for clinical diagnosis, treatment planning, and image-guided …

Infrared and visible image fusion based on NSST and phase consistency adaptive DUAL channel PCNN

Q Xie, L Ma, Z Guo, Q Fu, Z Shen, X Wang - Infrared Physics & Technology, 2023 - Elsevier
The infrared and visible image fusion has been one of the significant research hotspots in
image processing field. This paper presents a new IR and VI image fusion framework, which …

Retinex-MPCNN: a Retinex and Modified Pulse coupled Neural Network based method for low-illumination visible and infrared image fusion

X Zhou, Z Jiang, IP Okuwobi - Signal Processing: Image Communication, 2023 - Elsevier
To overcome detail loss problem of infrared and low-illumination visible light image fusion,
this paper proposes a novel fusion framework based on Modified Pulse Coupled Neural …