Patent ID: 11887279
Assignee: SHARIF UNIVERSITY OF TECHNOLOGY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. The system of claim 11, wherein generating the nth training image comprises:
extracting a random variable p from a noise probability distribution, a lower bound of a support set of the noise probability distribution equal to p, and an upper bound of the support set equal to pu where 0≤pl≤pu≤1,, p
      l
     
     +
     
      p
      u
     
    
    2
   
   ≤
   μ
  
  ,, and μ is a mean of the noise probability distribution; and
obtaining the training array In by:
extracting a binary random variable from a Bernoulli probability distribution, a parameter of the Bernoulli probability distribution equal to p;
setting an (i, j, c)th entry of the training array In to an (i, j, c)th entry of an nth original image responsive to the binary random variable being equal to 0 where 1≤i≤Nh, 1≤j≤Nw, and 1≤c≤C;
extracting a noise value from a uniform probability distribution, a support set of the uniform probability distribution equal to an intensity range of the nth original image; and
setting the (i, j, c)th entry of the training array In to the noise value responsive to the binary random variable being equal to 1.