Image noise reduction by means of bootstrapping-based fuzzy numbers

HIGHLIGHTS

• who: Reza Ghasemi et al. from the Department of Statistics, Payame Noor University (PNU), Tehran, Iran have published the article: Image Noise Reduction by Means of Bootstrapping-Based Fuzzy Numbers, in the Journal: (JOURNAL)
• what: 1 m(n) 0 i=1 Due to this feature, in the next section, the authors provide an algorithm for reducing image noise using the bootstrap mean for pixels with a fuzzy value. One of the main reasons for using the bootstrap is that this sampling is based on the sample the authors have. The first reason can be seen . . .
  

   

  

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