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  • 學位論文

基於四個一組預測誤差值擴增之可逆資料隱藏

4-wise Prediction-Error Expansion for Reversible Data Hiding

指導教授 : 張仁俊 吳信龍
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摘要


在近幾年來,可逆資料隱藏的技術已被廣泛地提出且應用於軍事、醫療以及法律領域。基於二維度預測誤差值直方圖的預測誤差值擴增方法係利用圖片剩餘來得到預測誤差值之間的相關性。 在本篇論文中,一個全新的可逆資料隱藏方法基於二維度預測誤差值直方圖在這裡提出,該方法稱為四維度預測誤差值擴增。四維度預測誤差值擴增可以使用圖片剩餘來取得較好的相關性。首先,將預測誤差值之序列以每四個視為一個單位且進一步得到一個新的以四個預測誤差值為一組的序列,接著,產生一個四維度預測誤差值直方圖。最後,使用四維度預測誤差值方法將祕密訊息置入於圖片的指定範圍裡。

並列摘要


Reversible data hiding (RDH) techniques applied on military, medical, and legal fields have been broadly presented in the recent years. Some prediction-error expansion (PEE) based methods based on the modification of two-dimensional prediction-error histogram (2D PEH) exploit image redundancy to obtain correlation among prediction-errors. In this work, a novel RDH method called 4-wise PEE over 2D PEH framework is presented here. The 4-wise PEE can make use of image redundancy to get better correlation. First, regarding every four adjacent prediction-errors as a unit, we acquire a new sequence consisted of prediction-errors quaternities; then, a four-dimensional prediction-error histogram (4D PEH) is also generated. Finally, secret messages are embedded into the cover image utilizing 4-wise PEE.

參考文獻


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