Video super-resolution based on deep learning: a comprehensive survey

H Liu, Z Ruan, P Zhao, C Dong, F Shang, Y Liu… - Artificial Intelligence …, 2022 - Springer
Video super-resolution (VSR) is reconstructing high-resolution videos from low resolution
ones. Recently, the VSR methods based on deep neural networks have made great …

Recent advances in Grey Wolf Optimizer, its versions and applications

SN Makhadmeh, MA Al-Betar, IA Doush… - IEEE …, 2023 - ieeexplore.ieee.org
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …

Fractional-order calculus-based flower pollination algorithm with local search for global optimization and image segmentation

D Yousri, M Abd Elaziz, S Mirjalili - Knowledge-Based Systems, 2020 - Elsevier
Introducing a novel approach to enhance the diversification and intensification propensities
of the flower pollination algorithm (FPA) is the main aim of this paper. Therefore, the …

Expanding synthetic real-world degradations for blind video super resolution

M Jeelani, N Cheema, K Illgner-Fehns… - Proceedings of the …, 2023 - openaccess.thecvf.com
Video super-resolution (VSR) techniques, especially deep-learning-based algorithms, have
drastically improved over the last few years and shown impressive performance on synthetic …

Fractional-order cuckoo search algorithm for parameter identification of the fractional-order chaotic, chaotic with noise and hyper-chaotic financial systems

D Yousri, S Mirjalili - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
Identifying the parameters of the chaos phenomena in the economic-financial systems is a
critical issue to control and avoid the financial crises and bogging the market down …

Fractional-order artificial bee colony algorithm with application in robot path planning

Y Cui, W Hu, A Rahmani - European Journal of Operational Research, 2023 - Elsevier
Artificial bee colony (ABC) algorithm is a popular meta-heuristic optimization algorithm
inspired by the foraging behaviors of honeybees. Although ABC has outstanding exploration …

Efficient fractional-order modified Harris hawks optimizer for proton exchange membrane fuel cell modeling

D Yousri, S Mirjalili, JAT Machado… - … Applications of Artificial …, 2021 - Elsevier
An effective harmony between the exploration and exploitation phases in meta-heuristics is
an essential design consideration to provide reliable performance on a wide range of …

Adaptive fractional-order genetic-particle swarm optimization Otsu algorithm for image segmentation

L Chen, J Gao, AM Lopes, Z Zhang, Z Chu, R Wu - Applied Intelligence, 2023 - Springer
Abstract The two-dimensional (2D) Otsu algorithm used in image segmentation considers
both the gray scale information of the image and the spatial information contained in the …

Towards high-quality and efficient video super-resolution via spatial-temporal data overfitting

G Li, J Ji, M Qin, W Niu, B Ren, F Afghah… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
As deep convolutional neural networks (DNNs) are widely used in various fields of computer
vision, leveraging the overfitting ability of the DNN to achieve video resolution upscaling has …

Kernel adaptive memory network for blind video super-resolution

JS Yun, MH Kim, HI Kim, SB Yoo - Expert Systems with Applications, 2024 - Elsevier
Although recent video super-resolution (VSR) works show remarkable restoration
performance for low-resolution (LR) video downscaled by a fixed known blur kernel, blind …