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Idempotence is the stability of image codec to re-compression.
Arithmetic coding
Jorma Rissanen and Glen G Langdon · 1979
Earlier work this paper cites.
The jpeg still picture compression standard
Gregory K Wallace · 1991
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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