Single image super-resolution via image quality assessment-guided deep learning network

HIGHLIGHTS

• who: Zhengqiang Xiong and colleagues from the Electronic Information School, Wuhan University, Wuhan, China, State Key Laboratory of Information have published the paper: Single image super-resolution via Image Quality Assessment-Guided Deep Learning Network, in the Journal: PLOS ONE of August/17,/2020
• what: In this paper an image quality assessment (IQA)guided single image super-resolution (SISR) method is proposed in DL architecture to achieve a nice tradeoff between perceptual quality and distortion measure of the SR result. The authors propose a promising and opening architecture, which is not confined to a specific . . .
  

   

  

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