Entropy & Information Content: Examining the Difference

In summary, entropy in the context of information theory refers to the amount of uncertainty or randomness in a system. It is often used to measure the information content of a message or signal, with higher entropy indicating a greater amount of information. It is a more technical term than information content, which can refer to any form of data or content.
  • #1
louislaolu
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What does entropy in the following sentence means? Does it mean the same as the term "information content" before it? Is entropy more technical a term than information content?

He remembered taking a class in information theory as a third-year student in college. The professor had put up two pictures: One was the famous Song Dynasty painting, full of fine, rich details; the other was a photograph of the sky on a sunny day, the deep blue expanse broken only by a wisp of cloud that one couldn't even be sure was there. The professor asked the class which picture contained more information. The answer was that the photograph's information content--its entropy exceeded the painting's by one or two orders of magnitude.
 
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  • #2
Google for a formal definition of entropy in the context of information theory.
 
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  • #3
Borek said:
Google for a formal definition of entropy in the context of information theory.
... or Shannon entropy.
 
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