ECE 517, Fall 2006 Semester
Matlab function “image_2_squares” segments a 256-by-256 image into 1024 8-by-8
squares, then puts the information of each square into a 64-by-1 column vector; all such
column vectors are output in a matrix that is 64-by-1024:
function B = image_2_squares(A);
% A is assumed to by 256 x 256
B = zeros(64,1024);
for R = 0:31
for C = 0:31
Bcol = 1 + R + C*32;
Arow = R*8;
Acol = C*8;
B(:,Bcol) = reshape(A(Arow+[1:8],Acol+[1:8]),64,1);
end
end
return
Matlab function “squares_2_image” takes the 64-by-1024 matrix produced by the
function described above and reorganizes it back into 256-by-256 original image format:
function A = squares_2_image(B);
% B is assumed to by 64 x 1024
A = zeros(256,256);
for Bcol = 1:1024
C = floor((Bcol-1)/32);
R = (Bcol-1) - C*32;
Arow = R*8;
Acol = C*8;
A(Arow+[1:8],Acol+[1:8]) = reshape(B(:,Bcol),8,8);
end
return
