RT Journal Article
A1 C.-H. Yang
A1 M.-H. Tsai

PB iet
T1 Improving histogram-based reversible data hiding by interleaving predictions
JN IET Image Processing
VO 4
IS 4
SP 223
OP 234
AB 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.
K1 interleaving prediction method
K1 grey images
K1 stego-image
K1 multimedia
K1 predictive error value
K1 histogram-based reversible data hiding
K1 PSNR
K1 copyright protection
K1 peak signal-to-noise ratio
DO https://doi.org/10.1049/iet-ipr.2009.0316
UL https://digital-library.theiet.org/;jsessionid=1xyj4jwroo0y4.x-iet-live-01content/journals/10.1049/iet-ipr.2009.0316
LA English
SN 1751-9659
YR 2010
OL EN