用菲涅耳变换和相位密码板实现盲数字水印

基于菲涅耳衍射变换和相位密码板,结合离散小波变换,设计了一种新的盲数字水印算法.通过提取相位母板的离散菲涅耳衍射变换的相角而获得相位密码板,原始水印图像经离散菲涅耳变换和相位密码板的共同作用形成水印密文,将水印密文嵌入到原始宿主图像的离散小波变换系数矩阵中,再对叠加水印信息的像素用其最邻近的像素均值来替换,从而获得一种新的盲数字水印提取法.数值计算结果表明:该水印算法对JPEG有损压缩、剪切、噪声污染和重采样等攻击具有较强的鲁棒性.由于该算法的密钥空间很大而密钥数据量却不高,所以采用本算法既能灵活选择加密密钥(相位密码母板、衍射距离等),又能确保高安全性,具有很高的实用价值.     

基于组合混沌系统的彩色图像加密算法

为了提高彩色图像信息的安全性,针对单一混沌系统的不足,提出一种基于组合混沌系统的彩色图像加密算法。首先将明文图像变化成为红(R)、绿(G)和蓝(B)三个分量,并采用小波变换分别对R,G,B三个分量进行分解,然后采用不同混沌系统对R,G,B三个分量的低频系统分别进行置乱处理,并采用小波重构得到加密后R,G,B分量,最后对组合R,G,B进行随机排列,得到密文图像,并采用仿真实验测试算法的性能。仿真结果表明,相对其它彩色图像加密算法,本文算法获得了更加理想的图像加密效果,在提高密钥空间的同时,抗攻击能力得到大幅度提升。     

一种基于Zigzag变换及混沌序列的图像加密方法研究与实现

给出一种在二维小波分解基础上,应用Zigzag变换和混沌序列相组合对数字图像进行加密的方法,可以达到密码学中混淆和扩散的目的。该方法应用二维小波分解算法分解明文图像,首先对分解的全部频率系数进行Zigzag变换,再应用变换后的系数进行重构,得到一次加密结果,然后对其应用混沌序列设计算法进行再次加密,从而完成图像的最终加密。解密是加密的逆过程。把该算法分别应用于彩色图像的R,G,B层,达到了对一幅彩色图像加密的目的。仿真试验结果证明了该方法的有效性,分析表明该方法有很大的密钥空间,且具有一定抵抗恶意攻击的鲁棒性和抗统计攻击的能力。     

基于小波变换的彩色图像数字水印新算法

提出了一种将灰度图像嵌入到原始彩色图像中的新数字水印算法.对RGB色彩空间彩色图像的绿色分量和蓝色分量进行haar小波变换.低频系数经过量化,将经过Arnold置乱后的灰度水印图像的位平面嵌入到低频子带.水印提取不需要原始载体图像.实验结果表明,该彩色图像数字水印算法不仅具有较好的透明性,而且对诸如叠加噪声、JPEG压缩、平滑滤波、几何剪切、图像增强和马赛克效果等攻击均具有较好的鲁棒性.     

基于菲涅耳域光学图像加密系统的解密研究

为了研究菲涅耳域光学图像加密系统的解密过程,提出了一种根据对称图像加密密文恢复原图像的方法.采用密文全息的逆菲涅耳变换重构出频谱强度,用CCD接收后送入计算机,根据离散菲涅耳变换的相关和复卷积的性质,对其系数进行分类和排列,可以恢复出入射光波,即可恢复原图像.并研究了对称偏差对解密图像质量的影响.结果表明,此方法可以通过离散菲涅耳衍射解密出原对称图像.     

基于菲涅耳域光学图像加密系统的解密研究

为了研究菲涅耳域光学图像加密系统的解密过程,提出了一种根据对称图像加密密文恢复原图像的方法。采用密文全息的逆菲涅耳变换重构出频谱强度,用CCD接收后送入计算机,根据离散菲涅耳变换的相关和复卷积的性质,对其系数进行分类和排列,可以恢复出入射光波,即可恢复原图像。并研究了对称偏差对解密图像质量的影响。结果表明,此方法可以通过离散菲涅耳衍射解密出原对称图像。     

一种基于小波变换的信息隐含技术

给出了基于小波变换的图像处理技术。对图像数据先进行二维离散小波变换,根据小波变换后高、低频分量的特点,用数据隐含技术将加密信息隐藏在小波变换图像的高频部分。这种基于小波变换后的图像,几乎没有附加传输信息量。     

光学图像相位加密中旋转不变性的实现及环形相位解密

计算机模拟研究了光学图像频域相位加密和解密过程 ,用混沌序列构造相位值并采用环形相位分布 ,不仅可以压缩密匙的数据量方便保存和传输 ,而且使加密图像具有中心旋转不变性从而避免解密中对加密图像方向自由度的要求 ,同时能使解密过程具有一定高低通滤波作用实现滤除噪声或边缘增强。在此加密方法中 ,解密的关键是加密图像频域中低频分量的解调 ,高频分量对解密质量和解密图像信噪比虽有影响但比低频分量的影响作用小。     

基于同轴菲涅耳全息的标识印刷防伪技术

在研究双随机相位数据加密技术的基础上,结合数字全息技术和印刷技术的特点,提出了一种新的同轴菲涅耳全息标识防伪方法,利用双随机相位加密复数数据信息(物光信息),与参考光叠加形成同轴全息图像。理论分析了同轴菲涅耳全息方法能有效地恢复原始图像数据,并对加密的同轴菲涅耳全息图像的强抗位压缩性能进行了仿真,最后通过打印和扫描对同轴菲涅耳全息标识的防伪功能进行了验证。结果表明,该全息标识防伪方法具有强的抗位压缩能力,可以通过逆菲涅耳变换和多重解密密钥恢复原始认证信息,是一种十分有效的全息标识。该全息标识方法可通过可变数据印刷技术印制在证件等印刷品中作为个性化防伪标识。     

基于分数傅立叶变换和相位恢复算法的彩色图像加密

提出一种基于分数傅立叶变换和相位恢复算法的彩色图像加密技术。加密时把待加密彩色图像分解为红（R）、绿（G）、蓝（B）三个分量,并构成联合图,然后将联合图迭代编码到两块相位板中,在迭代过程中,同时改变两块相位板。解密时,只需要将编码得到的两块相位板匹配起来放在正确的位置,就可以恢复出高质量的彩色图像。模拟实验表明,该算法收敛速度快,系统安全性能高,并且可以光学实现。     

Reversible data hiding in encrypted color images using cross-channel correlations

In recent years, the increasing requirements in cloud storage and cloud computing have made it necessary to encrypt digital images for privacy protection. Meanwhile, many reversible data hiding (RDH) algorithms in the encrypted domain have been proposed. However, most of these algorithms are for gray-level images, and the intrinsic cross-channel correlations of color images cannot be utilized to improve the embedding capacity. In this paper, we propose a novel data hiding method for encrypted color images. In the encryption stage, the homomorphic property of encryption is achieved by basic modular addition. During the data hiding process, the cross-channel correlations between R, G and B channels are generated in encrypted domain, and data hiding is performed by the difference histogram shifting. Analysis and experiments demonstrate that the proposed method is secure and the RDH performance is superior.     

Image encryption method based on multiple-order fractional discrete Tchebichef transform and generating sequence

Fractional transform based image encryption methods have been widely studied in recent years.However,most of the existing fractional transform based image encryption methods are defined in the complex field.Thus,the encrypted images contain both phase and amplitude information,which is not conducive to transmission and storage.Moreover,some encryption methods that meet the requirements of reality-preserving have problems of relatively single keys,lacking of sensitivity and so on.An image encryption method was proposed based on multiple-order fractional discrete Tchebichef transform and generating sequence.The proposed method used randomly generated row and column vectors and generating sequence generated by Chaotic sequences as keys to encrypt images,which not only satisfied property of reality-preserving transmission but also greatly expanded the key space.The experimental results further demonstrate that the proposed encryption method can resist a variety of attacks,and decrypted images are almost non-distored,which indicate excellent encryption effect,sufficient security and robustness of the method.     

Self-adaptive permutation and combined global diffusion for chaotic color image encryption

As to color image encryption, most of the previous algorithms are to encrypt its R, G, B components, respectively, which neglected the correlations among R, G, B components. To overcome this problem, a type of chaotic color encryption scheme was proposed by Wang et al. based on combined permutation and combined diffusion. Unfortunately, there are some drawbacks in the scheme and it has been cryptanalyzed soon. To strength the security performance, a new scheme based on coupled logistic map, self-adaptive permutation, S₈ S-boxes transform and combined global diffusion is proposed in this paper. Simulation results and analyses show that our cryptosystem is immune to some well-known attacks and has high security for practical color image encryption applications.     

Compression of Optically Encrypted Digital Holograms Using Artificial Neural Networks

Compression and encryption/decryption are necessary for secure and efficient storage and transmission of image data. Optical encryption, as a promising application of display devices, takes advantage of both the massive parallelism inherent in optical systems and the flexibility offered by digital electronics. We encrypt real-world three-dimensional (3D) objects, captured using phase-shift interferometry, by combining a phase mask and Fresnel propagation. Compression is achieved by nonuniformly quantizing the complex-valued encrypted digital holograms using an artificial neural network. Decryption is performed by displaying the encrypted hologram and phase mask in an identical configuration. We achieved good quality decryption and reconstruction of 3D objects with as few as 2 bits in each real and imaginary value of the encrypted data     

A Steganography-Based Optical Image Encryption System Using RGB Channel Integration

An optical image encryption system with adaptive steganography using red, green, and blue (RGB) channel integration is proposed. The optical image encryption system employs a double random phase encoding algorithm to encrypt and decrypt color images. The RGB channel in a color image is first integrated into a large grayscale image. Then the integrated image is encrypted by two random phase masks. The secret data is then embedded into the encrypted image with a specific hiding sequence generated by the zero-LSB (least significant bits) sorting technique which is a content-dependent and low distortion data embedding method. Experimental results show that the proposed method has a good performance in both hiding capacity and decrypted image quality.     

基于3D-DWT及混沌映射的加密医用体数据鲁棒检索算法研究

随着医疗数据的共享日益频繁,数据安全问题变得日益突出.安全起见,把医学图像加密后存储到服务器或云端.如何实现对加密医学图像检索成为一个亟待解决的问题.提出一种基于混沌和三维小波变换的加密医用体数据鲁棒检索算法.其主要步骤为:首先,通过三维小波变换和混沌映射对医用体数据进行加密;然后,对加密体数据进行小波分解,得到子带图像,再对子带图像进行DCT变换,提取DCT变换能量聚集的低频系数作为加密体数据的特征向量,建立加密图像的特征向量数据库;最后,通过计算加密图像的特征向量的相似度来检索目标图像,将检索到的加密图像返回,并解密所检索到的医用体数据.实验结果表明,该检索算法对加密体数据的常规攻击和几何攻击具有较强的鲁棒性,并提高了图像检索的安全性和准确性.     

基于回转器变换与非等模分解的光学加密算法

为解决当前基于干涉的多图像密码系统中易出现轮廓和串扰噪声问题，设计了基于回转器(Gyrator)变换与非等模矢量分解的多彩色图像非对称光学加密算法。将所有彩色图像分解成红、绿、蓝三基色分量，再对每种颜色分类叠加，融合成三通道形式；利用Logistic映射生成随机相位掩码，对叠加后的颜色分量进行调制处理。将调制后的图像分量分别在Gyrator变换域下进行旋转变换，形成3个复杂分布函数。利用非等模矢量分解方法，将其分解成振幅和相位均不相同的2个矢量，并将其中一个视为固定的共享矢量，另一个作为解密矢量。对共享矢量实施Gyrator逆变换，输出最终的密码图像。实验数据显示，较已有的多目标加密技术而言，该算法具备更强的抗破译能力，可以更好地解决串扰噪声问题。