Find the entropy of the image

Entropy is a measure of the amount of information or uncertainty in a system. In the context of image processing, entropy can be used to quantify the randomness or disorder in the pixel values of an image. The formula for entropy, \(H(X)\), for a discrete random variable \(X\) with probability mass function \(p(x)\) is given by:

\[ H(X) = - \sum_{i} p(x_i) \log_2(p(x_i)) \]

where the sum is taken over all possible values of \(X\).

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