DocumentCode :
1281961
Title :
Improving histogram-based reversible data hiding by interleaving predictions
Author :
Yang, Chia-Hsiang ; Tsai, M.-H.
Author_Institution :
Dept. of Comput. Sci., Nat. Pingtung Univ. of Educ., Pingtung, Taiwan
Volume :
4
Issue :
4
fYear :
2010
fDate :
8/1/2010 12:00:00 AM
Firstpage :
223
Lastpage :
234
Abstract :
Data hiding is an important way of realising copyright protection for multimedia. In this study, a new predictive method is proposed to enhance the histogram-based reversible data hiding approach on grey images. In those developed histogram-based reversible data hiding approaches, their drawbacks are the number of predictive values less to the number of pixels in an image. In these interleaving prediction methods, the predictive values are as many as the pixel values. All predictive error values are transformed into histogram to create higher peak values and to improve the embedding capacity. Moreover, for each pixel, its difference value between the original image and the stego-image remains within ±1. This guarantees that the peak signal-to-noise ratio (PSNR) of the stego-image is above 48±dB. Experimental results show that the histogram-based reversible data hiding approach can raise a larger capacity and still remain a good image quality, compared to other histogram-based approaches.
Keywords :
data encapsulation; image coding; image colour analysis; PSNR; copyright protection; grey images; histogram-based reversible data hiding; interleaving prediction method; multimedia; peak signal-to-noise ratio; predictive error value; stego-image;
fLanguage :
English
Journal_Title :
Image Processing, IET
Publisher :
iet
ISSN :
1751-9659
Type :
jour
DOI :
10.1049/iet-ipr.2009.0316
Filename :
5533176
Link To Document :
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