Joining matrices into 1 matrix?

   D = imread('peppers.png');
   D = double(D)/255; %convert class and normalize Y

   ycbcrmap = rgb2ycbcr(D); %Convert the image to YCbCr colour space
   Y = ycbcrmap(:,:,1); % Y channel
   Cb = ycbcrmap(:,:,2); % Cb channel 
   Cr = ycbcrmap(:,:,3); % Cr channel
   %On Y
   E0 = dct2(Y); %perform the 2-D DCT

   [rows,columns,dim] = size (E0);
   sz2 = [rows, columns];  

   %%Spilliting image into a cell array 
   chunk_size2 = [8 8]; % your desired size of the chunks image is broken into
   sc2 = sz2 ./ chunk_size2; % number of chunks in each dimension; must be integer
   % split to chunk_size(1) by chunk_size(2) chunks
   X2 = mat2cell(E0, chunk_size2(1) * ones(sc2(1),1), chunk_size2(2) *ones(sc2(2),1));
   [r, c] = size(X2);

   %inv_X2 = cell2mat(X2);
     for row = 1 : r    
          for col = 1 : c    
          Z = cell2mat(X2(row, col));

          end 
     end

As it stands Z is only showing the last matrix of the cell X2. How can I join all the matrices of Z to reform the image in the same size of image D?

Answer 1

[KSSV]

D = imread('peppers.png');
D = double(D)/255; %convert class and normalize Y
ycbcrmap = rgb2ycbcr(D); %Convert the image to YCbCr colour space
Y = ycbcrmap(:,:,1); % Y channel
Cb = ycbcrmap(:,:,2); % Cb channel
Cr = ycbcrmap(:,:,3); % Cr channel
%On Y
E0 = dct2(Y); %perform the 2-D DCT
[rows,columns,dim] = size (E0);
sz2 = [rows, columns];
%%Spilliting image into a cell array
chunk_size2 = [8 8]; % your desired size of the chunks image is broken into
sc2 = sz2 ./ chunk_size2; % number of chunks in each dimension; must be integer
% split to chunk_size(1) by chunk_size(2) chunks
X2 = mat2cell(E0, chunk_size2(1) * ones(sc2(1),1), chunk_size2(2) *ones(sc2(2),1));
[r, c] = size(X2);
%inv_X2 = cell2mat(X2);
Z = cell(r,c) ;
for row = 1 : r
    for col = 1 : c
        Z{row,col} = cell2mat(X2(row, col));
    end
end
Z = cell2mat(Z) ;

[CharlesB]

Perfect! As i wanted :)