基于Logistic混沌的图像隐藏方案

本文在已有的基于融合的图像隐藏技术的基础上，结合混沌序列对原始图像进行隐藏处理，同时优化隐藏参数来实现数字图像的隐藏保护。该方法中图像的隐藏效果和图像恢复的效果较好，同时也有效地提高了隐藏图像的鲁棒性，安全性。     

基于颜色表扩展技术的数据隐藏方法

提出了一种基于索引图像颜色表扩展技术的数据隐藏方法,并对该方法的安全性及隐藏容量进行了分析,分析结果表明,该方法具有很强的安全性和很高的隐藏容量.利用该方法可以将机密数据隐藏在索引掩护图像中,获得的伪装图像具有与原始掩护图像完全相同的视觉效果.如果提供正确的密钥,机密数据可以从伪装图像中无失真地得以恢复.另外,由于使用了随机数,机密数据的统计特性被完全掩盖,伪装图像与机密数据统计独立.     

DCT域可逆图像隐藏技术研究

提出了一种基于DCT变换的数字图像隐藏算法.先对载体图像进行分块DCT变换,每个变换后的块矩阵中的细节元素位置用来存储被隐图像经加密后DCT变换的矩阵元素,然后分块反DCT变换后组合成加隐图像.加隐图像和原始的载体图像从肉眼上看几乎无异.用这样的方法来安全地隐藏一幅图像.从数值参数指标分析、秘钥空间大小、秘钥敏感性和抗破损攻击能力等角度对隐藏算法的有效性、隐藏性能、被隐藏图像提取时的恢复效果进行深入分析.     

基于量化编码技术的声音隐藏算法

本文提出了一种基于量化编码技术的语音隐藏算法。该算法可以将一种秘密语音伪装成另一种语音以便于从公网上安全的传输，实验结果表明，该算法具有隐藏数据量大、安全性高、隐藏效果好等优点。且该算法可以用于在语音中隐藏文本、图像等信息数据。     

基于插值预测和块分类的低失真可逆数据隐藏

提出一种基于插值预测和块分类模型的低失真可 逆数据隐藏算法。首先,对原始图像 进行插值预测, 得到预测误差图像;然后根据误差图像建立直方图,使得产生的直方图更陡峭,峰值点出现 频率更大;接 着对误差图像进行分块,利用块分类模型,在隐藏块内利用直方图平移隐藏信息,尽可能地 减少平移点的 数量;最后,相应地修改原始像素的灰度值,得到低失真的隐秘图像。实验结果表明,本文 算法不仅可以实现可逆数据隐藏,而且隐藏效果较好,有效载荷较高。     

在BMP图像文件中实现数据的加密

近年来 ,在图像中加密数据是信息隐藏技术中新的研究课题 ,它以数字图像为载体 ,将所要隐藏的信息按照某种算法嵌入到数字图像中 ,并且要求 :嵌入信息后的图像与原始图像相比 ,在人的视觉上没有什么区别 ;加密数据后不会改变图像的数据量 ,即直接对载体数据的某些部分进行修改 ,而不会使图像文件增大。这里将介绍一种利用ＢＭＰ图像实现数据加密的方法。ＢＭＰ图像文件是位图文件 ,位图是指将上幅图像分割成栅格 ,栅格的每一点称为像素 ,每一个像素具有ＲＧ值 ,即一幅图像是由一系列像素点构成的点阵。ＢＭＰ图像文件的主要特点有 :①每个文…     

一种基于FPGA的通用实时差错隐藏算法

整帧图像丢失和部分宏块数据丢失是视频通信中的两种常见现象.由于差错隐藏原理不同,现有算法只能分别处理这两种差错,不利于硬件统一实现.文中通过改进基于光流理论的差错隐藏算法,在处理整帧图像丢失的算法框架中融合处理部分宏块丢失的算法,提出了一种能处理这两种情况的通用差错隐藏算法,并针对FPGA实时处理要求进行了算法优化.仿真结果表明在差错隐藏性能方面,该算法优于H.264参考算法.     

数字图像中的信息隐藏技术

论述了信息隐藏技术的原理和准则,分析和归纳了基于数字图像的信息隐藏算法,给出了一种基于快速的Tangram算法的数字图像信息隐藏算法.     

基于可见水印的课件版权保护研究

互联网络的快速发展推动了网络课程和远程教育的广泛应用。课件是一种重要的网络教学资源,为保护制作者的权益,将可见水印和可逆数据隐藏技术相结合应用于课件版权保护系统中。版权通告采用了自适应图像特性的可见水印技术,为能按需还原图像采用了基于直方图的可逆数据隐藏技术。该算法使版权水印标识在不影响图像使用的基础上清晰可见,并且可去除水印,完全恢复出原始图像。实验结果验证了该算法应用于课件版权保护的有效性。     

一种改进的利用像素差值的数据隐藏方法

本文介绍了一种新的,利用数字图像相邻像素的差值进行数据隐藏的方法.数字图像被分成互不重叠的2（2的连续的小快.分别计算水平和垂直方向的2像素的灰度差值.将所有可能的差值分成几个区间,并且给据人眼对灰度图像的敏感特性来划分这些区间.为了隐藏数据,用和原来的像素差值在同一个区间的一个新的差值来代替原来的像素差值.隐藏的数据能够从隐藏数据后的图像中恢复而不需要原始图像.此外,选择2（2的小块进行隐藏的顺序是伪随机的,从而有很高的保密性.模拟结果表明,这种方法比用图像像素的最低有效位（LSB）进行隐藏的方法[1]在视觉上更不容易察觉,并且一般的检测方法[4,5]对本文方法无效,而相比于仅利用水平方向像素差值进行隐写的方法[2],本文提出的方法有效提高了数据隐藏的容量.     

Encrypted signal-based reversible data hiding with public key cryptosystem

Encrypted image-based reversible data hiding (EIRDH) is a well-known method allowing that (1) the image provider gives the data hider an encrypted image, (2) the data hider embeds the secret message into it to generate the encrypted image with the embedded secret message to the receiver, and (3) finally the receiver can extract the message and recover the original image without encryption. In the literature, the data hider and image provider must be specific parties who know the shared key with the receiver in traditional encrypted image-based reversible data hiding. In this paper, we propose an encrypted signal-based reversible data hiding (ESRDH) with public key cryptosystem, not only for images. The proposed scheme is secure based on Paillier homomorphic encryption. Finally, the experimental results show that the proposed scheme has much payload and high signal quality.     

基于奇异值分解的近无损可逆数字水印方案

提出一种基于奇异值分解(SVD)和可逆信息隐藏的近无损鲁棒水印方法。首先将图像分块,然后进行SVD分解,并将水印嵌入到其进去奇异值的U分量中,最后将可恢复载体图像的信息经可逆信息隐藏方法嵌入到水印图像中,在提取水印和恢复载体图像过程中都不需要原载体图像。实验证明,该算法不仅能使原载体图像近无损恢复,而且能有效地抵抗JPEG压缩、噪声干扰、低通滤波,剪切和旋转等典型的攻击,具有较强的鲁棒性。     

Watermarking on Colored Images

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A ROI-based reversible data hiding scheme in encrypted medical images

A novel ROI-based reversible data hiding scheme in encrypted medical images is proposed. Firstly, a content owner partitions an original medical image into the region of interest (ROI) and the region of noninterest (RONI), and then encrypts the image using an encryption key. A data-hider concatenates the least significant bits (LSB) of the encrypted ROI and Electronic Patient Record (EPR), and then embeds the concatenated data into the encrypted image by LSB substitution algorithm. With the encrypted medical image containing the embedded data, the receiver can extract the embedded data with the data-hiding key; if the receiver has the encryption key, a medical image similar to the original image can be obtained by directly decrypting the encrypted medical image; if the receiver has both the data-hiding key and the encryption key, the embedded data can be extracted without any error and ROI can be losslessly recovered after extracting the embedded data.     

An Anti-Cutting Watermarking Algorithm Based on Matrix Multiplication Secret Sharing Scheme

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An efficient high-capacity reversible data hiding scheme for encrypted images

Reversible data hiding in encrypted images is an effective technique to embed information in encrypted domain, without knowing the original content of the image or the encryption key. In this paper, a high-capacity reversible data hiding scheme for encrypted images based on MSB (most significant bit) prediction is proposed. Since the prediction is not always accurate, it is necessary to identify the prediction error and store this information in the location map. The stream cipher is then used to encrypt the original image directly. During the data hiding phase, up to three MSBs of each available pixel in the encrypted image are substituted by the bits of the secret message. At the receiving end, the embedded data can be extracted without any errors and the original image can be perfectly reconstructed by utilizing MSB prediction. Experimental results show that the scheme can achieve higher embedding capacity than most related methods.     

Improved joint reversible data hiding in encrypted images

This paper proposes an improved method of reversible data hiding in encrypted images (RDH-EI). Three parties constitute the proposed system: the image owner, the remote server and the recipient. To preserve privacy, an image owner encrypts the original image using a stream cipher algorithm and uploads the ciphertext to a remote server. On server side, a data-hider is allowed to embed additional message into the encrypted image using a swapping/shifting based algorithm. After downloading the marked encrypted image from the server and implementing the decryption, a recipient can extract the hidden messages and losslessly recover the original image. Experimental results show that the proposed method achieves a larger payload than the related works. Meanwhile, a limitation in the related works that few bits can be embedded into the encrypted medical images is also eliminated in the proposed method.     

Reversible data hiding in encrypted images with separability and high embedding capacity

In this paper, a high-capacity reversible data hiding (RDH) scheme for encrypted images with separability is proposed. The image is first divided into non-overlapping blocks, and each block is encrypted with the same random value. The advantage is that the correlation between adjacent pixels can be preserved. Utilizing the preserved correlation, the prediction difference in encrypted domain is exactly the same as that of plaintext domain, so that the separability can be achieved. Without accessing the original image content, the data-hider can embed additional data into encrypted image through histogram shifting and difference expansion. At the receiving end, the embedded additional data and the original image can be recovered without any error in separable manner. Experimental results are presented to demonstrate the feasibility and efficiency of the proposed scheme.     

基于块容量标签的密文图像可逆数据隐藏方法

密文图像的可逆数据隐藏技术既能保证载体内容不被泄露,又能传递附加信息。本文提出了一种基于块容量标签(block capacity label, BCL)的高容量密文图像可逆数据隐藏算法。该方案在图像加密之前进行预处理,首先将图像分为两个区域：参考像素区域和预测像素区域。然后将预测像素区域分为不重叠的块,根据所提出的算法确定分块的BCL,在对图像进行加密之后嵌入BCL,生成加密图像;在秘密数据嵌入阶段,根据BCL和数据隐藏密钥嵌入秘密数据。实验测试了BOWS-2数据集,平均嵌入容量为3.806 8 bpp,与现有方法相比,该方法可以获得更高的秘密数据嵌入容量,并可以实现原始图像的完美重建。