Learning a Deep Convolutional Network for Image Super-Resolution

Image Super-Resolution Using Deep Convolutional Networks Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang Department of Informaiton Engineering, The Chinese University of Hong Kong Microsoft Research Abstract We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is represente

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“yet demonstrates state-of-the-art restoration quality, and achieves fast speed for practical on-line usage.”