Efficient FPGA Binary Neural Network Architecture for Image Super-Resolution

Efficient FPGA Binary Neural Network Architecture for Image Super-Resolution

Super-resolution systems refer to computer-based systems designed to enhance the quality of images or video by producing high-resolution renditions from low-resolution counterparts using computational algorithms and technologies. Various methods and techniques have been used in development of super-...

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Bibliographic Details
Main Authors: Yuanxin Su, Kah Phooi Seng, Jeremy Smith, Li Minn Ang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Electronics
Subjects:
field programmable gate array (FPGA)
binary neural network (BNN)
deep learning
hardware architecture
image super-resolution
Online Access:https://www.mdpi.com/2079-9292/13/2/266

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https://www.mdpi.com/2079-9292/13/2/266

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