computer-vision-19
Blind Image Deblurring
3260 papers • 126 benchmarks • 313 datasets
Blind Image Deblurring is a classical problem in image processing and computer vision, which aims to recover a latent image from a blurred input. Source: Learning a Discriminative Prior for Blind Image Deblurring
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