Hi Shri.s,
To distinguish between the master image and the current image, you can perform statistical analysis, including histogram analysis.
Introducing noise to an image will typically result in a distinct change in the histogram, differentiating it from the original, noise-free version.
You can refer to the MATLAB Documentation of ‘imhist’ function for producing histogram of image data.
Furthermore, the noise ratio can be calculated by utilizing the difference of standard deviation between the images.
Refer to the implemented work around for better understanding:
difference_image = abs(double(master_image) - double(current_image1));
noise_level = std(difference_image(:));
signal_level = mean(double(master_image(:)));
noise_ratio = noise_level / signal_level;
Refer to the MATLAB Documentation of ‘std’ function and ‘mean’ function:
I hope this provides a helpful starting point for developing a solution.
