Example: air traffic controller
Curvelet
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Image Super-Resolution With Non-Local Sparse Attention
openaccess.thecvf.comdictionary such as wavelet [11] and curvelet [9] functions. Combining with exemplar-based approaches, sparse repre-sentation developed the dictionary using raw image patches [46] or learned semantic feature patches from the degraded image itself [17, 19] or external datasets[47]. As the deep Convolution Neural Networks (CNNs) for SISR emerges,