Bit Plane Slicing in MATLAB

       Read fractal.jpg file. Display individual bits as binary image. Display and comment on the result.  (Hint: use bitget built-in function)

CODE:

clc; clear;

A=imread('fractal.jpg');

[row,col]=size(A);

subplot(3,3,1), imshow(A), title('Original Image');

C=zeros(row,col,8);

for k=1:8

    for i=1:row

        for j=1:col

            C(i,j,k)=bitget(A(i,j),k);        %Bit slicing

        end

    end

    subplot(3,3,k+1), imshow(C(:,:,k)), title(['Bit Plane ',num2str(k-1)]);

end

OUTPUT RESULT :

We observe that the three higher order planes, especially the 8^th bit plane, contain a significant amount of the visually significant data. The lower order planes contribute to more subtle intensity details in the image. Decomposing an image into its bit planes is useful for analyzing the relative importance of each bit in the image and is useful for image compression.