Optimum Reversible Information Hiding Based on Adaptive Joint Processing
Authors
Zhijie Mao, Yinfa Zhang, Lin Zhou, Tinglong Du
Corresponding Author
Zhijie Mao
Available Online May 2016.
- DOI
- 10.2991/ifeesd-16.2016.102How to use a DOI?
- Keywords
- Information Hiding, Stego-information, Integer Wavelet Transform (IWT), Assignment Algorithm, Peak Signal to Noise Ratio (PSNR).
- Abstract
This paper presents a novel reversible information hiding method for digital images by a joint with integer wavelet transform and assignment algorithm. This scheme takes advantage of Gaussian-like distribution histogram for utilizing integer wavelet coefficients in frequency and assignment algorithm for best matching between the secret image and the original one. Experimental results show that original image and extracted marked image could have high visual quality and they are perceptually similar to their original versions. In addition, results show that this scheme outperforms peak signal to noise ratio (PSNR) than other methods.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhijie Mao AU - Yinfa Zhang AU - Lin Zhou AU - Tinglong Du PY - 2016/05 DA - 2016/05 TI - Optimum Reversible Information Hiding Based on Adaptive Joint Processing BT - Proceedings of the 2016 International Forum on Energy, Environment and Sustainable Development PB - Atlantis Press SP - 564 EP - 570 SN - 2352-5401 UR - https://doi.org/10.2991/ifeesd-16.2016.102 DO - 10.2991/ifeesd-16.2016.102 ID - Mao2016/05 ER -