Unsupervised Degradation Learning for Single Image Super-Resolution

11 Dec 2018Tianyu ZhaoWenqi RenChangqing ZhangDongwei RenQinghua Hu

Deep Convolution Neural Networks (CNN) have achieved significant performance on single image super-resolution (SR) recently. However, existing CNN-based methods use artificially synthetic low-resolution (LR) and high-resolution (HR) image pairs to train networks, which cannot handle real-world cases since the degradation from HR to LR is much more complex than manually designed... (read more)

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