Hyperspectral denoising using asymmetric noise modeling deep image prior

HIGHLIGHTS

  • who: Yifan Wang and colleagues from the School of Electronic and Information Engineering, Jiaotong University, China have published the Article: Hyperspectral Denoising Using Asymmetric Noise Modeling Deep Image Prior, in the Journal: (JOURNAL)
  • what: The authors propose the asymmetric Laplace noise modeling (ALDIP) for HSI mixed noise removal. To fully exploit the spatial-spectral correlation the authors propose ALDIP-SSTV which combines ALDIP with a spatial-spectral total variation (SSTV) term to preserve more spatial-spectral information. The authors propose to utilize an asymmetric Laplace (AL) distribution for modeling real-world HSI noise, and Figure . . .

     

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