Denoising single images by feature ensemble revisited

HIGHLIGHTS

  • who: Masud An Nur Islam Fahim and collaborators from the Department of Computer Engineering, Chosun University, Gwangju, Korea have published the Article: Denoising Single Images by Feature Ensemble Revisited, in the Journal: Sensors 2022, 22, 7080. of 10/Oct/2021
  • what: The study proposes a simple yet efficient architecture for the denoising problem that addresses the aforementioned issues. The study has the following contributions: 2 of 17 The authors propose a shallow ensemble approach through feature concatenation to create a large array of feature combinations for low-level image recovery. The authors propose a variety . . .

     

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