Patent ID: 11935213
Assignee: SHANDONG NORMAL UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The laparoscopic image smoke removal method based on the generative adversarial network according to claim 1, wherein the smoke area perception loss is achieved by the following formula:, L
     sap
    
    (
    x
    )
   
   =
   
    
     1
     N
    
    [
    
     
      
       α
       1
      
      ⁢
      
       
        ∑
        
         x
         ∉
         R
        
       
        
       
        
         U
         D
        
        (
        x
        )
       
      
     
     +
     
      
       ∑
       
        x
        ∈
        R
       
      
       
      
       
        M
        x
       
       ⁢
       
        
         U
         D
        
        (
        x
        )
       
      
     
    
    ]
   
  
  ,
 

 
  
   where
   ⁢
      
   
    
     U
     D
    
    (
    x
    )
   
  
  =
  
   
    ❘
    "\[LeftBracketingBar]"
   
   
    
     
      U
      GT
     
     (
     x
     )
    
    -
    
     
      U
      OUT
     
     (
     x
     )
    
   
   
    ❘
    "\[RightBracketingBar]"
   
  
 

where N represents a total number of image pixels; R represents a smoke area, which is recognized by the smoke mask segmentation network in an input image; x represents an index in an image; UGT and UOUT respectively represent a real image and a network output image; al represents a penalty weight in a smoke-free area; Mx represents a smoke area penalty weight; and
a1=0.2; Mx⊂[0.5,1], the penalty weight al in the smoke-free area is a fixed value; and in the smoke area, the smoke area penalty weight Mx is set according to an intensity in real smoke.