DocumentCode :
118246
Title :
A reversible data hiding based on adaptive prediction technique and histogram shifting
Author :
Rui Liu ; Rongrong Ni ; Yao Zhao
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Reversible data hiding recovers the original image from the stego-image without distortion after data extraction. In this paper, we propose a novel reversible data hiding method based on adaptive prediction techniques and histogram shifting. Because most natural images always contain edges, it is not suitable to predict these pixels using existing prediction methods. For more precise prediction, two prediction methods are adaptively used to calculate prediction error according to the characteristic of a pixel. As a result, two prediction error histograms are built. One is for pixels located at edges, and the other is for the rest pixels. Data are embedded in the image by using histogram shifting method. In addition, a new sorting method is applied to histogram shifting, which considers the differences of all pixel pairs in the neighborhood and better reflects the correlation among pixels. Through the sorting method, the prediction errors with small absolute values are arranged in the front and more embeddable pixels are preferentially processed. Therefore, the number of shifting pixels is decreased if the peaks in the histograms are all dealt with or the capacity is satisfied, which is beneficial to distortion reduction. Experimental results demonstrate that the proposed method acquires greater capacity and higher quality compared with other state-of-the-art schemes.
Keywords :
adaptive estimation; data encapsulation; distortion; image watermarking; prediction theory; sorting; adaptive prediction technique; data embedding; distortion reduction; histogram shifting method; prediction error histogram; reversible data hiding method; sorting method; stego-image; Correlation; Data mining; Decision support systems; Histograms; Image edge detection; Prediction methods; Sorting; adaptive prediction technique; histogram shifting; reversible data hiding; sorting method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
Conference_Location :
Siem Reap
Type :
conf
DOI :
10.1109/APSIPA.2014.7041698
Filename :
7041698
Link To Document :
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