A lightweight distillation recurrent convolution network on FPGA for real-time video super-resolution

Zhaowen Zheng; Yuqiong Huang; Dihu Chen

doi:10.1007/s00530-024-01528-0

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A lightweight distillation recurrent convolution network on FPGA for real-time video super-resolution

Zhaowen Zheng Yuqiong Huang Dihu Chen

Year: 2024 Journal: Multimedia Systems Vol: 30 (6) Publisher: Springer Science+Business Media

DOI: 10.1007/s00530-024-01528-0

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Keywords:

Computer science Convolution (computer science) Field-programmable gate array Resolution (logic) Cryptography Parallel computing Embedded system Real-time computing Computer engineering Algorithm Artificial intelligence Artificial neural network

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A lightweight distillation recurrent convolution network on FPGA for real-time video super-resolution

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