DMCA
Reversible data hiding (2006)
| Venue: | IEEE Trans. Circuits Syst. Video Technol |
| Citations: | 131 - 4 self |
BibTeX
@ARTICLE{Ni06reversibledata,
author = {Zhicheng Ni and Yun-qing Shi and Nirwan Ansari and Wei Su},
title = {Reversible data hiding},
journal = {IEEE Trans. Circuits Syst. Video Technol},
year = {2006},
pages = {354--362}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract—A novel reversible data hiding algorithm, which can recover the original image without any distortion from the marked image after the hidden data have been extracted, is presented in this paper. This algorithm utilizes the zero or the minimum points of the histogram of an image and slightly modifies the pixel grayscale values to embed data into the image. It can embed more data than many of the existing reversible data hiding algorithms. It is proved analytically and shown experimentally that the peak signal-to-noise ratio (PSNR) of the marked image generated by this method versus the original image is guaranteed to be above 48 dB. This lower bound of PSNR is much higher than that of all reversible data hiding techniques reported in the literature. The computational complexity of our proposed technique is low and the execution time is short. The algorithm has been successfully applied to a wide range of images, including commonly used images, medical images, texture images, aerial images and all of the 1096 images in CorelDraw database. Experimental results and performance comparison with other reversible data hiding schemes are presented to demonstrate the validity of the proposed algorithm. Index Terms—Histogram modification, reversible (lossless) data hiding, watermarking. I.
Keyphrases
reversible data hiding reversible data original image aerial image computational complexity medical image hidden data novel reversible data data hiding texture image marked image execution time coreldraw database peak signal-to-noise ratio minimum point wide range index term histogram modification performance comparison reversible data hiding scheme experimental result pixel grayscale value
