MATLAB Project Help

Matlab project help

MatLab Projects are comprises of more complications than the high school Calculus class that frustrated many students; even students who didn’t struggle in math courses may find that the MatLab projects are filled with unreasonable amounts of programming, and a focus on object-orientated programming that is fickle and frustrating when not done correctly.

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Here are we giving a project example related with image processing in matlab for your reference and the name of the project is watermark embedding and extraction in an image

close all;

clear all;

clc;

%DCT watermark embeding

% Initialize the Strength factor

alpha=0.001;%water mark strength factor

% Get The original Input Image

originalImage=imread(‘lena.jpg’);

watermarkedImage = zeros(512,512) ;

% Resize the Original Image into 512×512 matrix

inputImage= im2double(imresize(originalImage,[512 512],’bilinear’));

figure(1),imshow(inputImage),title(‘ORIGINAL IMAGE’);

% Get The watermark Input Image

% Resize the Watermark Image into 64×64 matrix

xx=imread(‘v17.jpg’);

%xx=rgb2gray(xx);

watermarkImage = im2double(imresize(xx,[64 64]));

figure(2),imshow(watermarkImage),title(‘COVER IMAGE’);

w = watermarkImage(:);

 

r1=1;r2=8; % Initialize the watermark Image Sub-Block row values

c1=1;c2=8; % Initialize the watermark Image Sub-Block column values

count = 0;

for i = 1: 64

 

for j = 1: 64

 

count = count +1;

block = inputImage(r1:r2,c1:c2);

 

% Aplly DCT to Sub-block

 

f = dct2(block);

% Apply the Watermark formula f(m,n)*w(x,y)*alpha

f(8,8) = w(count) * alpha;

 

% Aply Inverse DCT to f

 

out = idct2(f);

% disp(out);

watermarkedImage(r1:r2,c1:c2) = out;

 

c1=c1+8;

c2=c2+8;

 

% disp(count);

end

 

r1=r1+8;

r2=r2+8;

c1=1;c2=8;

end

res = im2uint8(watermarkedImage);

imwrite(res,’DCTwatermarkedImage.jpg’,’jpg’);

figure(3),imshow(res),title(‘IMAGE AFTER WATERMARKING’);

%

% Simple DCT Based Watermark Extracting

% Initialize the Strength factor

alpha=0.001;

 

w1 = zeros(64,64);

inputImage = watermarkedImage;

r1=1;r2=8; % Initialize the watermark Image Sub-Block row values

c1=1;c2=8; % Initialize the watermark Image Sub-Block column values

count = 0;

for i = 1: 64

for j = 1: 64

count = count +1;

 

block = inputImage(r1:r2,c1:c2);

 

% Apply DCT to Sub-block

 

f = dct2(block);

% Apply the Watermark formula f(m,n)*w(x,y)*alpha

w1(count) = f(8,8) / alpha;

c1=c1+8;

c2=c2+8;

end

 

r1=r1+8;

r2=r2+8;

c1=1;c2=8;

end

op = vec2mat(w1,64);

figure(4);

imshow(op,[]),title(‘Extracted Watermark Image’);

 

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Here is the matlab programming based assignment which our instant matlab tutors have made for the student it is for your reference

clc;

close all;

clear all;

original_image=imread(‘lena.jpg’);

img=rgb2gray(original_image);

A=impulsenoise(img, 0.01,1);

figure(1);

imshow(original_image);

title(‘original image’);

figure(2);

imshow(A);

title(‘Gray Scale With 1% Random Impulse Noise Image’);

[m n]=size(img);

B=sort(A);

C=ordfilt2(B,2,ones(m,n));

error_diff=img-A;

Decibles=2*log10(255/(sqrt(mean(mean(error_diff.^2)))));

PSNR=Decibles*10

figure(3);

imshow(img);

title(‘Median with DRID’);