Efficient quaternion cur method for low-rank approximation to quaternion matrix

HIGHLIGHTS

• What: The authors provide the perturbation estimates for the QMCUR approximation of the noisy version of low-rank matrices. In this experiment, the authors will demonstrate error estimation in Theorem 1 using simulation data. In this example, the authors evaluate the performance of the proposed QMCUR method for color image compression.
• Who: Pengling Wu and colleagues from the University of Macau of Macau, Macau, China have published the article: Efficient quaternion CUR method for low-rank approximation to quaternion matrix, in the Journal: (JOURNAL)
• How: From these results the following observations are made . . .
  

   

  

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