Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels

CVPR 2019 Kai ZhangWangmeng ZuoLei Zhang

While deep neural networks (DNN) based single image super-resolution (SISR) methods are rapidly gaining popularity, they are mainly designed for the widely-used bicubic degradation, and there still remains the fundamental challenge for them to super-resolve low-resolution (LR) image with arbitrary blur kernels. In the meanwhile, plug-and-play image restoration has been recognized with high flexibility due to its modular structure for easy plug-in of denoiser priors... (read more)

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