Epistemic-uncertainty-based divide-and-conquer network for single-image super-resolution

HIGHLIGHTS

• who: Jiaqi Yang and colleagues from the State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, China have published the research: Epistemic-Uncertainty-Based Divide-and-Conquer Network for Single-Image Super-Resolution, in the Journal: Electronics 2022, 11, 3809. of /2022/
• what: The authors propose an epistemic-uncertainty-based divide-and-conquer network (EU-DC) to address this problem. The authors propose a novel division based on epistemic uncertainty, which is consistent with the substance of the processing difficulty. The authors propose the EU-DC by substituting for image-gradient-based division with . . .
  

   

  

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