How to find the entropy value of an RGB image after histogra equalization in Y plane.?

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I am finding entropy value of an RGB image after histogram processing in Y plane, as follows:
i % the original image
y1=rgb2ycbcr(i); y=y1(:,:,1);cb=y1(:,:,2);cr=y1(:,:,3); he1=histeq(y); r1=cat(3,he1,cb,cr); r1=ycbcr2rgb(r1);
g1=rgb2gray(r1); e1=entropy(g1):
Now I followed the procedure:
imwrite(r1,'temp1.jpg'); i2=imread('temp1.jpg'); g2=rgb2gray(i2); e2=entropy(g2)
But now e1 and e2 are different. Why it is so?

Respuesta aceptada

Guillaume
Guillaume el 17 de Dic. de 2015
How much different?
Do you know that the jpg format is a lossy compression format? Every time you save an image as jpg, some of the pixel values are slightly changed.
If you use a non-lossy compression format such as png, does the entropy change?
  1 comentario
arun kumar
arun kumar el 17 de Dic. de 2015
Thank you so much Guillaume. Now I saved the image with 'jpg' extension in 'lossless' mode. Now getting the same values of e1 and e2. Even with 'png' also I can get same values.
Thank you once again

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