Zero-shot blind learning for single-image super-resolution

HIGHLIGHTS

• who: Kauhiro Yamawaki and Xian-Hua Han from the Graduate School of Science and Technology for Innovation, Yamaguchi University, Yoshida, Yamaguchi, Japan have published the Article: Zero-Shot Blind Learning for Single-Image Super-Resolution, in the Journal: Information 2023, 14, 33. of /2023/
• what: This study proposes a zero-shot blind SR framework via leveraging the power of deep learning but without the requirement of the prior training using predefined imaged samples. The aim of this study was to learn the underlying HR image using the LR observation only without any external dataset, whilst . . .
  

   

  

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