• Corpus ID: 243832769

Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution

  title={Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution},
  author={Zhenxing Dong and Hong Cao and Wang Shen and Yu Gan and Yuye Ling and Guangtao Zhai and Yikai Su},
Current learning-based single image super-resolution (SISR) algorithms underperform on real data due to the deviation in the assumed degradation process from that in the real-world scenario. Conventional degradation processes consider applying blur, noise, and downsampling (typically bicubic downsampling) on high-resolution (HR) images to synthesize lowresolution (LR) counterparts. However, few works on degradation modelling have taken the physical aspects of the optical imaging system into… 

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