Lightweight image super-resolution via an efficient local–global transformer network with adaptive attention windows

Jian Zhu; Simin Zheng; Peiyao Chen; Min Li; Jianfang Hu; Ruichu Cai

doi:10.1007/s00371-025-03891-z

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Lightweight image super-resolution via an efficient local–global transformer network with adaptive attention windows

Jian Zhu Simin Zheng Peiyao Chen Min Li Jianfang Hu Ruichu Cai

Year: 2025 Journal: The Visual Computer Vol: 41 (11)Pages: 8673-8687 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-025-03891-z

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Keywords:

Computer science Computer graphics Artificial intelligence Transformer Superresolution Computer graphics (images) Computer vision Image (mathematics) Engineering

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Lightweight image super-resolution via an efficient local–global transformer network with adaptive attention windows

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