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標題: 可預測之可回復式資訊隱藏演算法
作者: 黃敬儒
Huang, Jing-Ru
Lin, Yun-Te
Wang, Chung-Ming
關鍵字: 預測機制;prediction mechanism;可回復式資訊隱藏;資訊隱藏;偽裝學;reversible data hiding;data hiding;steganography
出版社: 國立中興大學工學院;Airiti Press Inc.
Project: 興大工程學刊, Volume 23, Issue 3, Page(s) 119-144.

Existing reversible data hiding algorithms using the prediction error approach have three unsolved problems. In this paper, we introduce a prediction mechanism to solve these problems. Our prediction mechanism analyzes a given cover image and constructs five histograms first before we derive mathematical functions to express the expected mean square error (EMSE) and expected pure capacity (EPC). Our prediction scheme takes into consideration the appearance of the probability of the secret message "1." Consequently, the mechanism can predict the optimal data hiding results prior to the real secret message embedding. In addition, the scheme can satisfy a user's demand for pure capacity or stego image quality. In particular, the derived mathematical functions are computed so as to automatically suggest the most appropriate corresponding threshold values and foresee the embedding results under this threshold value. We extend our prediction algorithm to an image database consisting of a number of cover images. This allows us to recommend the best cover image from the image database which has the highest embedding performance or satisfies user's need for concealing secret messages. Experimental results show that our mechanism has high prediction accuracy. The average error rate between the capacity being predicted and the capacity derived from practical embedding is less than 10^(-6)%. The average error rate between the peak signal-to-noise ratio being predicted and the real one is less than 10^(-6)%. In conclusion, our prediction mechanism provides five significant features; namely, prediction, convenience, optimization, generality, and integration. The scheme is feasible to steganographic applications.
ISSN: 1017-4397
Appears in Collections:第23卷 第3期

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