Multi-focus image fusion dataset and algorithm test in real environment

Editorial: Recent advances in image fusion and quality improvement for cyber-physical systems, volume II

“…Image fusion is a computational technique fusing multi-source images from multiple sensors into a synthesized image that provides a comprehensive or reliable description. Quality improvement techniques can be used to address the challenge of low-quality image analysis tasks (Jin et al, 2017 , 2023a , 2024 ; Liu et al, 2022 ; Wang G. et al, 2022 ; Guo et al, 2024 ). At present, a lot of brain-inspired algorithm methods (or models) are aggressively proposed to accomplish these two tasks, and the artificial neural network has become one of the most popular techniques in processing image fusion and quality improvement techniques in this decade, especially deep convolutional neural networks (Kong et al, 2022 ; Liu et al, 2022 ; Wang G. et al, 2022 ; Chen et al, 2023 ; Jin et al, 2023a ).…”

“…Quality improvement techniques can be used to address the challenge of low-quality image analysis tasks (Jin et al, 2017 , 2023a , 2024 ; Liu et al, 2022 ; Wang G. et al, 2022 ; Guo et al, 2024 ). At present, a lot of brain-inspired algorithm methods (or models) are aggressively proposed to accomplish these two tasks, and the artificial neural network has become one of the most popular techniques in processing image fusion and quality improvement techniques in this decade, especially deep convolutional neural networks (Kong et al, 2022 ; Liu et al, 2022 ; Wang G. et al, 2022 ; Chen et al, 2023 ; Jin et al, 2023a ). This is an exciting research field for the research community of image fusion, and many interesting Research Topics remain to be explored, such as deep few-shot learning, unsupervised learning, application of embodied neural systems, and industrial applications.…”