基于数字全息和离散余弦变换的数字水印技术

提出了一种基于数字菲涅耳全息和离散余弦变换的数字水印技术.利用全息技术得到原始水印图像的菲涅耳全息图,之后将其嵌入宿主图像离散余弦变换域的中频系数,将水印添加位置和光学系统的几何结构参数作为恢复水印信息的密钥,并且算法属"盲数字水印技术",从而该算法具有较好的安全性和实用性.对算法的测试结果也表明,该算法对噪声,滤波、剪切,旋转、有损压缩等常见的图像处理操作具有较高的稳健性.因此,该算法具有一定的实用价值.     

数字全息水印在印刷半色调图像中的应用

在印刷半色调图像中嵌入特定信息可用于印刷品的保护和认证。设计了一种新颖的应用于非数字形式印刷半色调图像中的信息隐藏算法,将原始水印信息制成菲涅耳全息图,以此作为水印信息,利用离散小波变换算法嵌入到宿主图像中,以实现信息隐藏。该算法利用全息图独特的不可撕毁性来增强水印的鲁棒性。实验结果表明,该算法对图像半色调化攻击具有较好的鲁棒性。     

优美图随机嵌入路径耦合像素优化的图像隐写

目的为了解决当前图像隐写方案不可感知能力差、秘密信息嵌入路径随机性较低、难以抵御盲隐写攻击,以及隐写容量小等问题。方法提出优美图随机嵌入路径耦合像素优化控制的图像无损隐写术。基于HIWT机制将载体图像转换为频域整数系数,实现无损隐写。定义图像直方图修改规则,构造隐藏信息长度估算模型,确定图像分块的频域表示,增强该算法的可靠性。引入LSB替代,设计像素区间控制机制,缩小密文与载体之间的嵌入误差。再嵌入图论,构建优美图,获取随机矩阵,确定秘密信息自适应随机嵌入路径,增强隐写的不可感知性能。借助逆向HIWT获取隐写图像。结果与当前隐写方案相比,文中隐写术具备更强的不可感知性,有效降低了阶梯效应,且隐写容量更高,提取图像无失真。结论文中算法可对图像进行安全无损隐藏,有效保护图像可靠传输。     

基于灰度图像的像素量化隐写算法

目的为了提高灰度图像处理的规模、嵌入量、安全性及鲁棒性,提出一种基于灰度图像的像素量化隐写算法。方法首先对载体图像进行Hilbert曲线扫描和图像像素量化,将量化信息产生的阈值区域准确地划分标记,然后分别对载体图像、待嵌入信息执行Hilbert置乱和D-S(data encryption security algorithm)数据加密处理,最后将加密后产生的秘密信息和相关辅助信息嵌入密文图像内。结果实验结果表明,该算法的嵌入率相较于原算法提升了10%,接收者能通过密钥解密获取原始信息,还原完整的载体图像。结论该隐写算法信息嵌入率高,鲁棒性和安全性较强。     

基于Radon变换与Schur分解的彩色图像水印算法

目的 针对彩色图像盲水印算法较为复杂且抗旋转能力差等问题,结合矩阵Schur分解和Radon变换提出一种抗旋转攻击的彩色图像盲水印算法。方法 该算法首先提取彩色宿主图像的U通道图像,其次对U通道图像经NSCT变换后的低频分量进行分块处理,将每个像素块分解为对称矩阵和反对称矩阵,最后对每块对称矩阵进行Schur分解,将二值水印嵌入至分解后上三角矩阵的最大特征值中。提取水印信息时,利用Randon变换对含水印图像进行几何校正后再进行水印提取操作。结果 文中算法提取水印相似度较高,其NC值达到0.9414;结构相似性较高,其SSIM值达到0.9183。结论 该水印算法在常规信号处理攻击、抗旋转攻击下均具有极强的鲁棒性。     

一种新的计算全息标识证件防伪技术

提出了一种新的计算全息标识证件防伪方法.该防伪方法首先通过计算机制作原始认证信息的菲涅耳加密面全息图,并变换成可印刷的全息标识,通过打印或数字印刷将其印制在证件等印刷品中作为防伪标识.原始认证信息的提取过程是加密过程的逆过程.理论分析和仿真实验证明了菲涅耳加密面全息标识方法的有效性和安全性.     

一种非对称鲁棒性盲水印算法

针对数字图像版权保护，提出一种非对称鲁棒性盲数字水印方法。通过将水印嵌入到最少受图像改变影响的子空间，使嵌入水印具有鲁棒性，且通过对特征子空间的选取限制，使算法具有较高的检测概率和安全性以及较低的虚警概率。同时，水印嵌入矩阵与提取矩阵不同，它可公开除密钥外的所有其它的信息，而且能实现水印盲提取。实验结果证明了该算法的鲁棒性。     

分形与小波相结合的鲁棒性数字水印算法

为了提高图像水印算法的鲁棒性,提出了一种分形与小波相结合的鲁棒性数字水印算法。该算法按密钥把水印信息转化为自相似分形图;对宿主图像进行离散Haar小波变换,然后将分形后的二值水印图像嵌入到Haar小波低频子带。仿真实验证明,该算法对噪声J、PEG压缩、剪切、平滑滤波等图像失真处理,均具有很好的鲁棒性。     

采用量化MCLT变换系数的音频数字水印盲检算法

提出了量化 MCLT 变换系数的音频数字水印盲检新算法。嵌入的水印为视觉可辨的二值标志图像,对水印降维处理后,利用密钥通过 PN 序列发生器产生的伪随机序列调制水印信息,然后通过量化 MCLT 系数的方法将其嵌入音频中。通过大量实验,得到了决定水印鲁棒性和不可感知性的量化参数选择上限。实验结果表明,该算法对所嵌水印的音频质量未见降低,对信号处理和随机裁剪型的攻击具有很高的鲁棒性。     

基于QR码和DWT-SVD技术的双彩色盲水印算法

目的为了进一步提高盲水印算法的嵌入能力和鲁棒性,提出一种基于QR码和SVD分解的强鲁棒性双彩色盲水印算法。方法基于Arnold变换对水印彩色QR码分通道置乱加密并归一化;将彩色载体图像分通道进行小波变换,并对三级低频子带进行4×4分块SVD分解;通过调节每一子块酉矩阵(2,1)和(3,1)坐标系数的差值将水印信息嵌入到载体图像对应通道中。结果实验结果表明算法具有较高的鲁棒性,对裁切、旋转、JPEG压缩、高斯噪声、椒盐噪声、高斯滤波、中值滤波、对比度增强等攻击具有较强的鲁棒性。结论由于算法在提取过程中不需要任何原载体图像相关信息,属于盲水印算法,因此文中提出的双彩色盲水印算法在数字产品版权保护中具有较大的实用价值。     

Digital color image watermarking based on phase-shifting interferometry and neighboring pixel value subtraction algorithm in the discrete-cosine-transform domain

A novel single-channel color-image watermarking with digital-optics means based on phase-shifting interferometry (PSI) and a neighboring pixel value subtraction algorithm in the discrete-cosine-transform (DCT) domain is proposed. The converted two-dimensional indexed image matrix from an original color image is encrypted to four interferograms by a PSI and double random-phase encoding technique. Then the interferograms are embedded in one chosen channel of an enlarged color host image in the DCT domain. The hidden color image can be retrieved by DCT, the improved neighboring pixel value subtraction algorithm, an inverse encryption process, and color image format conversion. The feasibility of this method and its robustness against some types of distortion and attacks from the superposed image with different weighting factors are verified and analyzed by computer simulations. This approach can avoid the cross-talk noise due to direct information superposition, enhance the imperceptibility of hidden data, and improve the efficiency of data transmission.     

基于自毁式数字水印的信息隐藏通信技术

目的为了提高信息隐藏通信技术的安全性,提出一种自毁式数字水印隐藏通信技术,即使非法者截获信息的载体也无法获得信息内容。方法将生成的含水印信息的图像分切成图像碎片以此破坏内嵌的水印信息,使水印信息无法从单个的图像碎片中提取,必须经过图像碎片拼接算法合成原始含水印图像后才能提取水印信息。结果通过实验仿真分析,对于大小为32×32像素的8×8个图像碎片,复原的含水印图像无任何图像碎片拼接错位,拼接平均耗时为1.59 s,因此能实现实时在线拼接复原并顺利提取出水印信息。结论从信息的嵌入到最后信息的提取都能顺利地隐藏信息的内容和信息的存在,信息传递过程中信息的安全性能好,因此,自毁式数字水印信息隐藏通信技术是一种可行性极高的信息隐藏通信技术。     

Color image hiding based on the phase retrieval technique and Arnold transform

A new (to our knowledge) method is proposed in this paper for color image hiding and extracting using the phase retrieval algorithm in the fractional Fourier transform (FRFT) domain and Arnold transform (ART). Based on a cascaded phase iterative FRFT algorithm, the three channels (R, G, and B) of the secret color image permuted by ART are encrypted. Then the encoded information is embedded in the blue channel (B channel) of the enlarged color host image. Using the security enhanced encryption method, not only the random phase mask and the wavelength but also the transform parameters of ART and FRFT are provided as additional keys for decryption. It is shown that the security of information hiding will be enhanced. Computer simulations are performed to show the hiding capacity of the proposed system. Numerical results are presented to verify the validity and efficiency of the proposed method.     

Image hiding in Fourier domain by use of joint transform correlator architecture and holographic technique

Based on joint transform correlator (JTC) architecture and holographic techniques, a new method for image hiding is presented. A hidden image encrypted by JTC architecture is embedded in the Fourier hologram of the host image. Inverse Fourier transform can be used to obtain the watermarked image, and JTC architecture is used to decode the hidden image from the watermarked hologram. Unlike other watermarking techniques, by prechoosing information, the noise added to the recovered hidden image by the host can be reduced. Unlike other watermarking systems based on double random-phase encoding, no conjugate key is used to recover the hidden image. Theoretical analyses have shown the system's feasibility. Computer simulations are presented to verify the system's validity and efficiency. Numerical simulations also show that the proposed system is robust enough to resist attacks, such as occlusion, noise, and filtering.     

Coverless Information Hiding Based on the Molecular Structure Images of Material

The traditional information hiding methods embed the secret information by modifying the carrier, which will inevitably leave traces of modification on the carrier. In this way, it is hard to resist the detection of steganalysis algorithm. To address this problem, the concept of coverless information hiding was proposed. Coverless information hiding can effectively resist steganalysis algorithm, since it uses unmodified natural stego-carriers to represent and convey confidential information. However, the state-of-the-arts method has a low hidden capacity, which makes it less appealing. Because the pixel values of different regions of the molecular structure images of material (MSIM) are usually different, this paper proposes a novel coverless information hiding method based on MSIM, which utilizes the average value of sub-image’s pixels to represent the secret information, according to the mapping between pixel value intervals and secret information. In addition, we employ a pseudo-random label sequence that is used to determine the position of sub-images to improve the security of the method. And the histogram of the Bag of words model (BOW) is used to determine the number of sub-images in the image that convey secret information. Moreover, to improve the retrieval efficiency, we built a multi-level inverted index structure. Furthermore, the proposed method can also be used for other natural images. Compared with the state-of-the-arts, experimental results and analysis manifest that our method has better performance in anti-steganalysis, security and capacity.     

基于相位调制的多通道半色调信息隐藏技术

目的研究多通道半色调信息隐藏技术,通过相位调制技术,使彩色隐藏信息隐藏于不同色调的母版当中。方法在基础层,基于最小阈值矩阵原理,使用基于相位调制阈值矩阵加网技术定位各通道隐藏信息位置,并在母版中对正常图像部分网点的生长趋势进行改变,实现在位置上的调制,从而保证各通道信息良好的隐蔽性。结果使用相位调制技术可以达到多通道信息的隐蔽,达到彩色信息隐藏的预期效果。结论该技术有利于提高半色调加网信息隐藏技术在印刷防伪中的应用范围,提高半色调加网信息隐藏技术的防伪性能。     

基于PWM占空比的印刷量子点图像信息识读

目的 针对目前PQP点阵数据的识读算法准确率较低速度较慢的问题，为了加快该信息隐藏与印刷防伪方法的推广应用，文中设计一种基于PWM占空比判据的PQP快速识读算法。方法 首先对采集到的PQP图像在非校正条件下，利用脉冲宽度调制(PWM)和最小占空比寻优方法，估算其点阵图像的栅格角度，然后根据所求得的栅格角度参照PQP点阵图像，分别计算横纵2个方向的极大值序列，之后对该序列进行二次差分和自适应阈值判决以绘制PQP点阵数据识读栅格，最后以方形螺旋线指向顺序索引网格内各位置特征值来识读PQP点阵数据信息。结果 通过仿真和实验测试得出，当打印分辨率为600 dpi时，PQP图像信息的识读时间和误码率分别控制在0.5 s和±5%以内。结论 在非校正、无参考和盲同步信息等不确定条件下，实现了对PQP点阵图像的信息提取。