Blind Super-Resolution Kernel Estimation using an Internal-GAN

Sefi Bell-Kligler, Assaf Shocher, Michal Irani

Neural Information Processing Systems 

However,thisisrarelythecase in real LR images, in contrast to synthetically generated SR datasets. When the assumed downscaling kernel deviates from the true one, the performance of SR methods significantly deteriorates. This gaverise toBlind-SR-namely, SR when the downscaling kernel ("SR-kernel") is unknown.

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