Attention-based multi-scale recursive residual network for low-light image enhancement

Kaidi Wang; Yuanlin Zheng; Kaiyang Liao; Haiwen Liu; Bangyong Sun

doi:10.1007/s11760-023-02927-y

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Attention-based multi-scale recursive residual network for low-light image enhancement

Kaidi Wang Yuanlin Zheng Kaiyang Liao Haiwen Liu Bangyong Sun

Year: 2023 Journal: Signal Image and Video Processing Vol: 18 (3)Pages: 2521-2531 Publisher: Springer Science+Business Media

DOI: 10.1007/s11760-023-02927-y

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Keywords:

Residual Artificial intelligence Computer science Kernel (algebra) Computer vision Convolutional neural network Image resolution Context (archaeology) Feature (linguistics) Convolution (computer science) Pattern recognition (psychology) Block (permutation group theory) Distortion (music) Artificial neural network Algorithm Mathematics Geography Telecommunications

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Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Attention-based multi-scale recursive residual network for low-light image enhancement

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