Markov Model
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Pixels independent leads to white noise.
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Markov Model Captures local
dependencies.
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Each pixel depends on neighborhood.
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Example, 1D first order model
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P(p1, p2, …pn) =
P(p1)*P(p2|p1)*P(p3|p2,p1)*…
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= P(p1)*P(p2|p1)*
P(p3|p2)*P(p4|p3)*…