| 摘要: |
| 随着互联网技术的飞速发展和5G时代的到来，数字多媒体的交流和传播变得越来越便捷。为了解决网络环境下，数字图像的版权保护、完整性认证和篡改定位等问题，本文提出了一种小波域基于差分统计量直方图平移的图像鲁棒可逆信息隐藏算法，其主要思想为：1）对载体图像进行Haar小波变换；2）对变换后所得到的低频子带进行分块并计算分块的差分统计量以构造差分统计量的直方图；3）通过平移直方图将秘密信息嵌入到图像的低频子带中，并通过Haar小波逆变换得到带秘密信息的图像；4）在接收方，通过计算低频子带的分块差分统计量可以将秘密信息准确地提取出来，并且通过执行直方图平移的逆操作可以无损地还原出原始的低频子带，从而无失真地恢复出原始载体图像；5）带秘密信息的图像在遭到一定程度的图像处理操作的攻击后，被嵌入的秘密信息仍然可以被有效地提取出来，例如压缩因子为30的JPEG压缩和标准差为30的加性高斯噪声。与现有的几种鲁棒可逆信息隐藏算法相比，本文算法有更强的鲁棒性。实验结果验证了本文算法的有效性。 |
| 关键词: 鲁棒可逆信息隐藏 Haar小波变换 差分统计量 直方图平移 完整性认证 版权保护 |
| DOI：10.19363/J.cnki.cn10-1380/tn.2020.05.09 |
| 投稿时间：2019-12-31修订日期：2020-02-20 |
| 基金项目:本课题得到国家自然科学基金（No.61772234）和广东省科技创新战略专项资金（“攀登计划”专项资金）项目（No.pdjh2020a0060）的资助。 |
|
| Robust and Reversible Data Hiding Algorithm Based on Histogram of Difference Statistics Shifting in Wavelet Domain |
| LIANG Xingyuan,XIANG Shijun |
| School of Information Science and Technology/School of Cyber Security, Jinan University, Guangzhou 510632, China |
| Abstract: |
| With the rapid development of Internet technology and the arrival of 5G, it is becoming more and more convenient to disseminate digital multimedia. In order to solve the problems of copyright protection, integrity authentication and tamper localization of digital images in the network, this paper proposes an robust and reversible data hiding algorithm based on the histogram of differential statistics shifting in the wavelet domain, including five aspects:1) perform Haar wavelet transform on the original image; 2) the low frequency sub-band obtained by Haar wavelet transform is divided into a number of non-overlapping blocks, and the difference statistic of each block is calculated to construct a histogram of the difference statistics; 3) the additional data can be embedded into the low frequency sub-band of the image by shifting the histogram, and the image with additional information can be obtained by inverse Haar wavelet transform; 4) on the receiver side, the additional information can be accurately extracted by calculating the difference statistics of the blocks in the low-frequency sub-band, and by using the inverse operation of histogram shifting, the original low frequency sub-band can be restored losslessly, so that the original image can be restored without distortion; 5) the embedded additional information can still be effectively extracted from the image with additional information which is attacked by some typical image processing operations to some extent, such as JPEG compression with a compression factor of 30 and additive Gaussian noise with a standard deviation of 30. Compared with several existing robust and reversible data hiding schemes, the proposed scheme is more robust. Experimental results verify the effectiveness of the proposed scheme. |
| Key words: robust and reversible data hiding haar wavelet transform difference statistic histogram shifting integrity authentication copyright protection |
