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- W2141749269 abstract "In this paper we propose a new reversible data hiding framework which applies prediction in the embedding procedure by suitably modifying the prediction errors and exploits non-local similarity in the prediction phase to estimate the to-be-predicted value. This results in a scheme which can be jointly used with different predictors and allows reaching high embedding capacity while preserving a high image quality. Extensive simulations demonstrate the effectiveness of the proposed approach." @default.
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- W2141749269 date "2009-08-01" @default.
- W2141749269 modified "2023-09-25" @default.
- W2141749269 title "High capacity reversible data hiding based on histogram shifting and non-local means" @default.
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- W2141749269 doi "https://doi.org/10.1109/lnla.2009.5278392" @default.
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