Images similarity measure using j-divergence
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I need to reproduce the result of Xu, Xiaocong, et al, 2016 paper . Mutual information code already was done and work fine. can anyone help me to write Jeffrey’s divergence code? because the I use file exchange code but I think it has an issue.
I the aforementioned paper the j-div is better because it has wider distance between correct result and wrong one, but in my case, the opposite MI is better (see the image below)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/166676/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/166677/image.png)
(up paper result, down my result)
Thanks
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