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Single Image Super-Resolution Based on Global-Local Information Synergy
May 3, 2024, 4:58 a.m. | Nianzu Qiao, Lamei Di, Changyin Sun
cs.CV updates on arXiv.org arxiv.org
Abstract: Although several image super-resolution solutions exist, they still face many challenges. CNN-based algorithms, despite the reduction in computational complexity, still need to improve their accuracy. While Transformer-based algorithms have higher accuracy, their ultra-high computational complexity makes them difficult to be accepted in practical applications. To overcome the existing challenges, a novel super-resolution reconstruction algorithm is proposed in this paper. The algorithm achieves a significant increase in accuracy through a unique design while maintaining a low …
abstract accuracy algorithms applications arxiv challenges cnn complexity computational cs.cv face global image information practical resolution solutions synergy them transformer type while
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