Edge-priority-extraction network using re-parameterization for real-time super-resolution

Ying, Wen-yuan; Dong, Tian-yang; Fan, Jing

doi:10.1007/s00371-023-03197-y

Vis Comput

2023

DOI: 10.1007/s00371-023-03197-y

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Edge-priority-extraction network using re-parameterization for real-time super-resolution

Wen-yuan Ying,

Tian-yang Dong,

Jing Fan

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2024

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A Comprehensive Survey on Real-Time Image Super-Resolution for IoT and Delay-Sensitive Applications

Rasool,

Ahmad,

Mardieva

et al. 2024

Applied Sciences

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In contemporary computer vision, deep learning-based real-time single image super-resolution approaches have gained significant attention for their ability to enhance the resolution of images in real time. These approaches are interconnected with various other computer vision domains, including image segmentation and object detection. Numerous surveys have summarized the state of the image SR domain. However, there is no survey that specifically addresses real-time single image SR on IoT devices. Therefore, in this study, we aim to explore strategies, identify the technical challenges, and outline the future directions of SR research, with a special emphasis on real-time super-resolution techniques. We begin with an overview of the core concepts related to real-time SR, recent challenges, and algorithm classification and delve into potential application scenarios that merit attention. Additionally, we explore the challenges and identify promising research areas related to real-time SR specifically related to IoT devices, highlighting potential advancements, limitations, and opportunities for future innovation in this rapidly evolving field.

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A Comprehensive Survey on Real-Time Image Super-Resolution for IoT and Delay-Sensitive Applications

Rasool,

Ahmad,

Mardieva

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

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Edge-priority-extraction network using re-parameterization for real-time super-resolution

Cited by 1 publication

References 45 publications

A Comprehensive Survey on Real-Time Image Super-Resolution for IoT and Delay-Sensitive Applications

A Comprehensive Survey on Real-Time Image Super-Resolution for IoT and Delay-Sensitive Applications

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