Patent ID: 11940578
Assignee: ECOLE SUPÉRIEURE DE PHYSIQUE ET DE CHIMIE INDUSTRIELLES DE LA VILLE DE PARIS
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC A  G

Claim 9:
10. The imaging method according to claim 1, wherein the n estimation Hn of the high-resolution image is used to calculate the divergence of the gradient of the Total Variation (TV) model penalizing term, which measures the quality of the restored image by countering the effect of the noise term and which corresponds to the last term of the following equation, and wherein the n+1 estimation Hn+1 of the high-resolution image is obtained by means of the following steepest-descent algorithm, H
    
     n
     +
     1
    
   
   =
   
    
     H
     n
    
    +
    
     c
     ⁢
     o
     ⁢
     r
     ⁢
     r
    
    +
    
     λ
     ⁢
     
      ∇
      
       
        ∇
        
         H
         n
        
       
       
        
         ❘
         "\[LeftBracketingBar]"
        
        
         ∇
         
          H
          n
         
        
        
         ❘
         "\[RightBracketingBar]"
        
       
      
     
    
   
  
  ,, and
wherein the term corr is defined as follows, c
    ⁢
    o
    ⁢
    r
    ⁢
    r
   
   =
   
    
     1
     
      N
      f
     
    
    ⁢
    
     
      ∑
      
       i
       =
       1
      
      
       N
       f
      
     
     
      
       B
       
        -
        1
       
      
      ⁢
      
       M
       i
       
        -
        1
       
      
      ⁢
      
       
        D
        
         -
         1
        
       
       (
       
        
         Γ
         i
        
        -
        
         L
         i
         n
        
       
       )
      
     
    
   
  
  ,
 

wherein B−1 is a deblurring kernel being a delta function with a width of one pixel, D−1 is the inverse of the down-sampling operator D that performs the up-sampling of data, Mi−1 is the additive inverse of Mi, ∇ denotes the gradient operator, and λ is the regularization parameter that balances the weight of the penalization term.