Question

Hello, I need help with the following question in MATLAB for digital image processing,

thank you for your help in advance

Convolution operations using mask are commonly applied in image enhancement. Even edge detection is based on convolution with a specially designed mask. The assignment here is to write your own function for convolution and test it in edge detection. 1. Write a function in Matlab as follows: function Img2 Convolution(Img, mask); %Input: Img is the original image data matrix, mask is square matrix, could be 2x2, 3 x 3 or size %Output îmg2 is the result image 2. Test the function. Read an image file, apply the edge detection filters (i.e., masks) to see whether it works well. Try at least 3 filters: Sobel, Robert, Prewittl

Answer 1

function [L,M]=lsbhide(hide_pic,M)

pic_data=imread(hide_pic); % open hide picture

secret=fopen(M,'rb'); % open secret file

[M,L]=fread(secret,'ubit1'); % read secret file as bin array

% L is the length of seceret file

[n,m]=size(pic_data); % n is width,m is height*3

m=m/3;

% m*n is the max size to save secret

if (m*n*3<L)

msg=msgbox('your hide picture is too small','size error','error','modal');

pause(1);

if (ishandle(msg))

close(msg);

end

end

latest_data=pic_data;

count=1;

for i=1:m % width

for j=1:n % height

for k=1:3 % RGB

latest_data(i,j,k)=pic_data(i,j,k)-mod(pic_data(i,j,k),2)+M(count,1);

if count==L

break;

end

count=count+1;

end

if count==L

break;

end

end

if(L==count)

break;

end

end

imwrite(latest_data,'hidden1.jpg','bmp');

CC=M;

count1=1;

for i=1:m

for j=1:n

for k=1:3

CC(count1)=latest_data(i,j,k)-pic_data(i,j,k);

if count1==L

break

end

count1=count1+1;

end

if count1==L

break

end

end

if count1==L

break

end

end

If u have any doubts refer steganography code.. Both are same.