Reversible Data Hiding through Adaptive Prediction and Prediction Error Histogram Modification

Reversible data hiding embeds information in a host media in a visually plausible way such that both the embedded message and the original host media can be exactly recovered. In this paper we present a new reversible data hiding framework based on prediction error histogram modification. This framework is general and flexible that includes some of the state-of-the-art methods as special cases. In addition, we propose a new adaptive prediction method using the autoregression model. In this method, a threshold is adjusted for each image to divide all pixels into two regions: the smooth region and the texture region. Then the proposed method optimally estimates the coefficients of the autoregression model for pixel value prediction through least-squares minimization. Experimental results show that the proposed reversible data hiding framework and the adaptive prediction algorithm offer valuable advantages over state-of-the-art methods in general.

並列關鍵字

Reversible data hiding ； watermarking ； autoregression ； histogram ； prediction

被引用紀錄

陳芮宇（2014）。雙偽裝影像運用直方圖修改與模數運算之可逆式資訊隱藏技術〔碩士論文，朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-2611201410185964

林美辰（2015）。可逆式資訊隱藏方法使用影像內插技術與機密訊息縮減策略〔碩士論文，朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-2502201617131605

Tseng, C. Y. (2015). 可逆式資訊隱藏方法使用邊緣敏感度分析、不對稱直方圖及雙影像技術 [doctoral dissertation, Chaoyang University of Technology]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0078-2502201617131712

國際替代計量

Reversible Data Hiding through Adaptive Prediction and Prediction Error Histogram Modification

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