Conditional generative adversarial network with densely-connected residual learning for single image super-resolution

Jiaojiao Qiao; Huihui Song; Kaihua Zhang; Xiaolu Zhang

doi:10.1007/s11042-020-09817-2

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Conditional generative adversarial network with densely-connected residual learning for single image super-resolution

Jiaojiao Qiao Huihui Song Kaihua Zhang Xiaolu Zhang

Year: 2020 Journal: Multimedia Tools and Applications Vol: 80 (3)Pages: 4383-4397 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-020-09817-2

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Keywords:

Computer science Leverage (statistics) Residual Generative adversarial network Artificial intelligence Ground truth Image (mathematics) Fuse (electrical) Superresolution Generative grammar Adversarial system Pattern recognition (psychology) Generator (circuit theory) Computer vision Algorithm

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Conditional generative adversarial network with densely-connected residual learning for single image super-resolution

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