how to calculate entropy of colored image?
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how to calculate entropy of colored image?
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A. P. B.
2017 年 6 月 23 日
編集済み: A. P. B.
2017 年 6 月 23 日
Assuming input_image is the name of the input. Entropy of each channel can be found using : Entropy_Red_Channel=Entropy(input_image(:,:,1)).
For each channel R,G and B you can calculate them separately. You can calculate entropy for multidimensional image but the function entropy will consider each of them as gray scale not RGB. Finally you can average the per channel entropy.
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Jordan Rashid
2018 年 9 月 6 日
Unless you account for the mutual information between channels, the solutions posted here will overestimate the total entropy.
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Francisca Rey
2018 年 10 月 23 日
How can you take into consideration the mutual information between channels?
Jordan Rashid
2018 年 10 月 23 日
https://en.wikipedia.org/wiki/Mutual_information#Relation_to_conditional_and_joint_entropy
The calculations include many more terms as you increase the number of channels.
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