Lecture notes in computer science, Год журнала: 2023, Номер unknown, С. 14 - 25
Опубликована: Янв. 1, 2023
Язык: Английский
Lecture notes in computer science, Год журнала: 2023, Номер unknown, С. 14 - 25
Опубликована: Янв. 1, 2023
Язык: Английский
Journal of the Indian Society of Remote Sensing, Год журнала: 2024, Номер 52(11), С. 2575 - 2592
Опубликована: Авг. 16, 2024
Язык: Английский
Процитировано
1Optics Communications, Год журнала: 2024, Номер 573, С. 131026 - 131026
Опубликована: Авг. 27, 2024
Язык: Английский
Процитировано
1Journal of Imaging, Год журнала: 2024, Номер 10(12), С. 298 - 298
Опубликована: Ноя. 21, 2024
This review provides an in-depth analysis of current hardware acceleration approaches for image processing and neural network inference, focusing on key operations involved in these applications the platforms used to deploy them. We examine various solutions, including traditional CPU–GPU systems, custom ASIC designs, FPGA implementations, while also considering emerging low-power, resource-constrained devices.
Язык: Английский
Процитировано
1Mathematics, Год журнала: 2023, Номер 11(10), С. 2260 - 2260
Опубликована: Май 11, 2023
Multi-modal image fusion can provide more information, which improves the quality for subsequent processing tasks. Because images acquired using photon counting devices always suffer from Poisson noise, this paper proposes a new three-step method based on fractional-order variational and data-driven tight frame to solve problem of multi-modal corrupted by noise. Thus, article obtains fused high-quality while removing The proposed model be solved split Bregman algorithm has significant stability fast convergence. numerical results various modal show excellent performance in terms evaluation metrics visual quality. Extensive experiments demonstrate that our outperforms state-of-the-art methods with
Язык: Английский
Процитировано
3Lecture notes in computer science, Год журнала: 2023, Номер unknown, С. 14 - 25
Опубликована: Янв. 1, 2023
Язык: Английский
Процитировано
2