A multi-scale generative adversarial network for real-world image denoising

Xiaojun Yu; Zixuan Fu; Chenkun Ge

doi:10.1007/s11760-021-01984-5

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A multi-scale generative adversarial network for real-world image denoising

Xiaojun Yu Zixuan Fu Chenkun Ge

Year: 2021 Journal: Signal Image and Video Processing Vol: 16 (1)Pages: 257-264 Publisher: Springer Science+Business Media

DOI: 10.1007/s11760-021-01984-5

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Keywords:

Computer science Artificial intelligence Noise reduction Block (permutation group theory) Adversarial system Context (archaeology) Scale (ratio) Network architecture Image (mathematics) Pattern recognition (psychology) Machine learning Computer vision Mathematics

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Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

A multi-scale generative adversarial network for real-world image denoising

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