Video super-resolution method using deformable convolution-based alignment network

HIGHLIGHTS

  • who: Yooho Lee and colleagues from the Department of Computer Engineering, Dong-A University, Busan , have published the Article: Video Super-Resolution Method Using Deformable Convolution-Based Alignment Network, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
  • what: As one of the convolutional neural network-based VSR methods the authors propose a deformable convolution-based alignment network (DCAN) to generate scaled high-resolution sequences with quadruple the size of the low-resolution sequences. The contributions of this study are summarized as follows: To improve VSR performance, the authors propose two alignment . . .

     

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