from
MTV: modified total variation model for image noise removal
by Wang YQ
a modified total variation model is proposed for image noise removal
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| BoundMirrorEnsure(A) |
function B = BoundMirrorEnsure(A)
% Ensure mirror boundary condition
%
% The number of rows and columns of A must be greater than 2
%
% for example (X means value that is not of interest)
%
% A = [
% X X X X X X
% X 1 2 3 11 X
% X 4 5 6 12 X
% X 7 8 9 13 X
% X X X X X X
% ]
%
% B = BoundMirrorEnsure(A) will yield
%
% 5 4 5 6 12 6
% 2 1 2 3 11 3
% 5 4 5 6 12 6
% 8 7 8 9 13 9
% 5 4 5 6 12 6
%
[m,n] = size(A);
if (m<3 | n<3)
error('either the number of rows or columns is smaller than 3');
end
yi = 2:m-1;
xi = 2:n-1;
B = A;
B([1 m],[1 n]) = B([3 m-2],[3 n-2]); % mirror corners
B([1 m],xi) = B([3 m-2],xi); % mirror left and right boundary
B(yi,[1 n]) = B(yi,[3 n-2]); % mirror top and bottom boundary
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