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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,
Fast Discrete Curvelet Transforms
www.curvelet.org1 Introduction 1.1 Classical Multiscale Analysis The last two decades have seen tremendous activity in the development of new mathematical and computational tools based on multiscale ideas.