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-rwxr-xr-x125/DEPENDENCIES/Func_medianall.sci36
1 files changed, 36 insertions, 0 deletions
diff --git a/125/DEPENDENCIES/Func_medianall.sci b/125/DEPENDENCIES/Func_medianall.sci
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+++ b/125/DEPENDENCIES/Func_medianall.sci
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+//The input to the function are the corrupted image ‘a’ and the dimension
+function [Out_Imag] = Func_medianall(a,N)
+a=double(a);
+[m n]=size(a);
+Out_Imag=a;
+if(modulo(N,2)==1)
+Start=(N+1)/2;
+End=Start;
+else
+ Start=N/2;
+ End=Start+1;
+end
+if(modulo(N,2)==1)
+ limit1=(N-1)/2;
+ limit2=limit1;
+else
+ limit1=(N/2)-1;
+ limit2=limit1+1;
+end
+for i=Start:(m-End+1),
+ for j=Start:(n-End+1),
+ I=1;
+ for k=-limit1:limit2,
+ for l=-limit1:limit2,
+ mat(I)=a(i+k,j+l);
+ I=I+1;
+ end
+ end
+ mat=gsort(mat); //Sort the elements to find the median
+ if(modulo(N,2)==1)
+ Out_Imag(i,j)=(mat(((N^2)+1)/2));
+ else
+ Out_Imag(i,j)=(mat((N^2)/2)+mat(((N^2)/2)+1))/2;
+ end
+ end
+end \ No newline at end of file