Patent ID: 11967066
Assignee: MARQUETTE UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. The image processing method according to claim 2, wherein the octave convolution-based neural network is configured to use an L1 loss function and an edge loss function,
wherein the L1 loss function is defined as:, L
     1
    
    (
    
     
      y
      ^
     
     ,
     y
    
    )
   
   =
   
    
     1
     K
    
    ⁢
    
     
      ∑
      
       k
       =
       1
      
      K
     
      
     
      
       1
       
        
         H
         k
        
        ⁢
        
         W
         k
        
        ⁢
        
         C
         k
        
       
      
      ⁢
      
       
        
        
         
          
           y
           ^
          
          k
         
         -
         
          y
          k
         
        
        
       
       1
      
     
    
   
  
  ,, and
wherein the edge loss function is defined as:, L
     E
    
    (
    
     
      y
      ^
     
     ,
     y
    
    )
   
   =
   
    
     1
     K
    
    ⁢
    
     
      ∑
      
       k
       =
       1
      
      K
     
      
     
      
       1
       
        
         H
         k
        
        ⁢
        
         W
         k
        
        ⁢
        
         C
         k
        
       
      
      ⁢
      
       
        
        
         
          sobel
          ⁡
          (
          
           
            y
            ^
           
           k
          
          )
         
         -
         
          sobel
          ⁡
          (
          
           y
           k
          
          )
         
        
        
       
       2
       2
      
     
    
   
  
  ,
 

where K is a batch size, Ck is a number of channels, Hk is a number of channels, Wk is a height of the high-frequency feature map, Wk is a width of the high-frequency feature map, yk is a label, ŷk is a predicted value, and sobel( ) is a sobel filter.