how do you add bit error rate after applying noise to an image, the code below explains it.?

I = imread('C:\Users\Vinayak Shukla\Documents\MATLAB\MATLAB PROJECTS\MASTER THESIS FOLDER 2023\happy15_encrpted4.bmp');

imshow(I);

J = imnoise(I,'gaussian',0.05);

imshow(J)

var = "message 1.txt";

double(char(var))

dec2bin('message 1.txt');

fid=fopen("message 1.txt","w");

fprintf(fid,"message1\n");

fclose(fid);

[Rik]

Ok, now you moved the post to a separate question. That is progress.

Now you only have to format your post and explain why you haven't tried what I suggested here.

[Pranav Shukla]

Sorry,my mistake.

[Divyansh]

Hey Pranav, can you please exlplain your issue? Are there any errors that are getting with this code?

Answer 1

[Hitesh]

Hi Pranav,

Although I am not entirely sure what you are specifically seeking, it seems like you are interested in determining the bit error rate after adding noise to an image.

You need to compare the original and noisy images at the bit level for calculating the Bit Error Rate (BER) after applying noise to an image . Follow the below steps to get the bit error rate after adding noise to an image.

• Convert Images to Binary: Convert both the original and noisy images to binary format.
• Compare Bits: Compare each bit of the original image with the corresponding bit in the noisy image.
• Calculate BER: Compute the BER as the ratio of the number of erroneous bits to the total number of bits.

Kindly refer to the revised code and mentioned comments for better understanding:

% Read the original image
imgData = imread('sample.bmp');

% Apply Gaussian noise
gaussianData = imnoise(imgData, 'gaussian', 0.05);
imshow(gaussianData);

% Convert images to binary format
imgData_bin = dec2bin(imgData(:), 8); % Convert each pixel to an 8-bit binary string
gaussianData_bin = dec2bin(gaussianData(:), 8);

% Calculate the number of bits
total_bits = numel(imgData_bin);

% Calculate the number of erroneous bits
error_bits = sum(imgData_bin(:) ~= gaussianData_bin(:));

% Calculate the Bit Error Rate (BER)
BER = error_bits / total_bits;

% Display the results
fprintf('Total bits: %d\n', total_bits);
fprintf('Error bits: %d\n', error_bits);
fprintf('Bit Error Rate (BER): %f\n', BER);

For more information regarding the "dec2bin" function, kindly refer to the following MATLAB documentation:

https://www.mathworks.com/help/matlab/ref/dec2bin.html