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Abstract

The present disclosure provides a method and a device for image quality enhancement based on a super-resolution neural network. The present disclosure in at least one embodiment provides an image quality enhancement method optimized for distortion characteristics of a target image, including generating one or more training datasets with one or more distortions, obtaining training distortion characteristic values respectively by inputting the one or more training datasets into a degradation encoder neural network (DEN), obtaining a service distortion characteristic value by inputting a service dataset comprising image patches of the target image into the degradation encoder neural network, computing a similarity between each of the training distortion characteristic values and the service distortion characteristic value, and selecting the training dataset having the highest similarity to the service distortion characteristic value.

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First Claim