A review of research on super-resolution image reconstruction based on deep learning

HIGHLIGHTS

• What: The paper introduces a network unit called the Residual-in-Residual Dense Block (RRDB), which eliminates the Batch Normalization layers.
• Who: from the Sydney Smart Technology College, Northeastern University at Qinhuangda, Liaoning have published the article: A Review of Research on Super-resolution Image Reconstruction Based on Deep Learning, in the Journal: (JOURNAL)
• How: This article presents an extensive review of the latest advancements in deep learning-based superresolution techniques. In this study Bicubic interpolation is used to downsample each high-resolution image by factors of 2 3 and 4 resulting in . . .
  

   

  

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