Classifying degraded images over various levels of degradation

15 Jun 2020Kazuki EndoMasayuki TanakaMasatoshi Okutomi

Classification for degraded images having various levels of degradation is very important in practical applications. This paper proposes a convolutional neural network to classify degraded images by using a restoration network and an ensemble learning... (read more)

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