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Measuring Image Information Measuring information I(E)=log =-log(P(E)) Entropy or Uncertainty:Average information per symbol H=-∑P(a,)logP(a,》 Shanon's first theorem lim avg,n The image can be represented with as few as entropy Measuring Image Information Measuring information log ( ) ( ) 1 ( ) log P E P E I E            Entropy or Uncertainty: Average information per symbol   j H P aj P aj ( )log( ( )) Shanon’s first theorem The image can be represented with as few as entropy , lim avg n n L H   n       
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