Recurrent Large Kernel Attention Network for Efficient Single Infrared Image Super-Resolution

Recurrent Large Kernel Attention Network for Efficient Single Infrared Image Super-Resolution

Infrared imaging has broad and important applications. However, the infrared detector manufacture technique limits the detector resolution and the resolution of infrared images. In this work, we design a Recurrent Large Kernel Attention Neural Network (RLKA-Net) for single infrared image super-resol...

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Bibliographic Details
Main Authors: Gangping Liu, Shuaijun Zhou, Xiaxu Chen, Wenjie Yue, Jun Ke
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Infrared image super-resolution
image processing
recurrent neural network
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/10366265/

Internet

https://ieeexplore.ieee.org/document/10366265/

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