Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks
Information Sciences, pp. 205-218, 2020.
Numerous image superresolution (SR) algorithms have been proposed for reconstructing high-resolution (HR) images from input images with lower spatial resolutions. However, effectively evaluating the perceptual quality of SR images remains a challenging research problem. In this paper, we propose a no-reference/blind deep neural network-ba...More
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