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Super-Resolved Image Perceptual Quality Improvement via Multi-Feature Discriminators
[article]
2019
arXiv
pre-print
Generative adversarial network (GAN) for image super-resolution (SR) has attracted enormous interests in recent years. However, the GAN-based SR methods only use image discriminator to distinguish SR images and high-resolution (HR) images. Image discriminator fails to discriminate images accurately since image features cannot be fully expressed. In this paper, we design a new GAN-based SR framework GAN-IMC which includes generator, image discriminator, morphological component discriminator and
arXiv:1904.10654v2
fatcat:4i76kplho5cvnezfyscuucxi6m