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Adaptive prediction using local area based predictor evaluation

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2 Author(s)
Marusic, S. ; Dept. of Electron. Eng., La Trobe Univ., Vic., Australia ; Deng, G.

Adaptive prediction is required to account for the nonstationarity in natural images. An efficient approach to adaptive prediction is presented which uses a local causal area to evaluate a number of fixed sub-predictors. Various schemes are proposed to utilise this information, including a rank-order based approach, two stage adaptive selection utilising median filtering, an adaptive combination method and a technique incorporating adaptive selection followed by adaptive combination which, coupled with prediction error feedback and adaptive arithmetic coding, produces results slightly superior to CALIC

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Signal Processing and its Applications, Sixth International, Symposium on. 2001  (Volume:2 )

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