i use the DWT transform to take comparison between the original image and LL sub-band of same image to make a diffidence or recognizing the received data is pure image or noisy data.
appcoef2: -
https://www.mathworks.com/help/wavelet/ref/appcoef2.html
OR : if you use dwt2 - https://www.mathworks.com/help/wavelet/ref/dwt2.html
The "Ca" are the approximate coefficients
% MATLAB CODE
% Max_level = maximum number of levels you want to decompose the image in wavelet. for example 2 or 3 or .....
% Transformation_Method = The transformation method which you want to use for example 'haar' wavelet, debuchies wavelet('db1',.... etc)
% Level_of_transform = on how much level of transform you want to decompose the image (1, 2, 3.... etc)
I = imread('image.jpg');
[C1,S1] = wavedec2(I,Max_level,Transformation_Method );
data = appcoef2(C1,S1,Transformation_Method , Level_of_transform);
hope it will help you
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