纯相位图象的实值编码

一种用于纯相位图象加密的实值编码方法 ,待编码的纯相位图象与一个随机相位掩膜一起作傅立叶变换 ,取其实部作为编码图象。已编码的图象和随机相位掩膜的傅立叶变换相加作傅立叶反变换 ,记录反变换的光强分布 ,再通过图象灰度变换可以恢复图象。该编译码方法简单 ,编码图象是一个实值图象 ,便于计算机打印或显示输出     

Color image single-channel encryption based on tricolor grating theory

A method of color image single-channel encryption is proposed. The proposed method uses tricolor grating to encode a color image into a gray level image, then the gray level image is encrypted by double random phase encryption, so a color image is encrypted in a single-channel and its security is ensured. Computer simulations and the chromatic aberration analysis are given to prove the possibility of the proposed idea.The optical system is simpler and is easy to be applied into practice. The simulation resu...     

基于离散分数随机变换的双彩色图像加密算法

该文基于离散分数随机变换和线性同余理论,提出一种单通道双彩色图像加密算法。输入的两幅RGB图像转换成相应的索引图像格式,其中一幅2维索引图像被编码为振幅部分,另一幅则被编码为空域相位掩模。分数域相位掩模由线性同余发生器 (LCG) 生成,并将彩色映射矩阵嵌入其中。引入光学幅相调制技术,在不增加光学元件的基础上实现了双彩色图像加密。离散分数随机变换的分数阶和线性同余函数的4个参数作为密钥提高了算法的安全性,对应所有密钥计算了输入图像和解密图像的均方误差。针对唯密文攻击,噪声叠加和抗裁剪性能分别进行了数值模拟,验证了该算法的可行性和有效性。     

双幅数字图象加密的实值编码研究

本文提出了一种双幅数字图象加密的实值编码方法,待加密的两幅数字图象扩大一倍,然后后与一个随机相位掩膜一起通过光学透镜作傅立叶变换,取其实部作为编码图象.利用全息记录的方法解码,即已编码的图象和随机相位掩膜的傅立叶变换相加通过光学透镜作傅立叶反变换,记录反变换的光强分布,再通过非线性变换或灰度变换的方法町以恢复原图象.该加密编码方法简单,町以同时对两幅图象编码,而且得到实值的编码图象,便于数字图象的记录、存储与输出.     

基于干涉原理和相位恢复算法的图像加密系统

以基于相位恢复算法和光学干涉原理为基本理论依据,提出了一种新的全相位光学图像加密系统。该加密系统利用一块随机相位板作为加密密钥,在其作用下输入图像被数值加密成两块相位板。这两块相位板的衍射图样视觉上无法分辨其内容,但却包含了解密所需要的信息。加密过程中,加密密钥与待加密图像分别作为输入平面和输出平面上的约束条件,在干涉原理的基础上通过迭代运算得到加密结果,即输入面上不同于加密密钥的另一个相位板的相位分布以及傅立叶频域上的相位分布。加密密钥的引入起到了置乱系统输入面相位分布的作用。解密过程中,加密过程中使用的随机相位板和迭代过程中生成的两块相位板缺一不可。计算机仿真实验结果表明,本文提出的加密系统具有算法收敛快、加密结果不存在非线性双随机相位加密和干涉加密方法中发现的信息泄露问题的优点。     

双生物识别图象的光学加密方法研究

本文提出了一种将两幅生物识别图象通过一套光学系统进行同时加密的方法。该方法先将一幅图象转换为纯相位和进行纯相位编码,再对另一幅图象编码,然后经过4f光学系统作频率域纯相位编码,并利用与编码过程类似的方法进行解码。可以证明该方法的编码图象为恒定的白噪声。解码过程具有鲁棒性,相位部分图象加密的安全性要高于振幅部分图象的加密。并分析了加性高斯噪声对解码图象的影响     

结合计算全息和频移的JTC系统多图像光学加密方法

为了提高JTC光学图像加密系统的实用性,解决其噪声问题,提高其加密效率和安全性,提出了一种基于计算全息和傅里叶变换频移特性的JTC系统多图像光学加密方法。首先多幅不同尺寸和类型的图像经过随机相位调制和傅里叶变换,然后傅里叶频谱经过频移相位调制后叠加并编码为二元实值计算全息图,最后经过JTC光学图像加密系统完成加密。解密时,加密图像经过4F系统解密获得计算全息图,二元实值计算全息图具有很强的抗噪性,可消除噪声,然后经过傅里叶变换获得多幅解密图像。仿真实验结果表明,该方法可实现多幅不同尺寸和类型图像的并行加密和解密,具有高加密效率,同时多幅图像互为密钥和双重光学密钥使得该方法具有很高的安全性。     

High-capacity reversible data hiding in encrypted image based on specific encryption process

This paper proposes a novel reversible data hiding method in encrypted images based on specific encryption process. In the proposed specific encryption algorithm, the stream cipher and prediction error are combined to vacate room for data embedding. After that, a permutation operation is performed on the encrypted image to improve the security. In the embedding process, we can embed a large amount of secret data in the encrypted image by pixel value expansion because most of the pixel values are less than 128 by the specific encryption process. At the receiver end, the encrypted image can be recovered from the marked encrypted image without knowing the secret data. Therefore, even if the recipient only has the encryption key, the original image will be perfectly recovered. If the recipient only has the data-hiding key, the secret data will be extracted. And if the recipient has both keys, the original image and the secret data are both available. The proposed method achieves a higher embedding capacity than that of methods based on vacating room after encryption. It does not require the image owner to perform reversible data hiding techniques on the original image, which is more convenient than methods based on reserving room before encryption. Experimental results demonstrate that the proposed method outperforms other state-of-the-art methods.     

基于计算全息的串联式三随机相位板图像加密

本文提出一种串联式三随机相位板图像加密的新方法,该方法充分运用计算全息记录复值光场的特性以记录加密图像,在传统的双随机相位加密系统基础上,置人第三个随机相位板在输出平面上,对输出的计算全息图进行相位调制加密,引入了新的密钥,获得很好的双密钥效果!同时由于计算全息周再现的多频特性,解密须正确提取单元频谱,进一步提高了图像...     

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。     

球面波照明下傅里叶变换全息多图像加密方法研究

为了减少加密系统所用模板数,简化隐藏图像对解密过程的影响,采用球面波照明研究了基于傅里叶变换全息的多图像加密隐藏方法,并进行了加密、加密图像隐藏和解密的理论分析和数值模拟,加密图像和原始图像间的相关系数趋于0,宿主图像和加密图像的叠加系数0.3时,宿主图像和隐藏图像的相关系数趋于1,解密图像和原始图像间的相关系数趋于1。结果表明,该加密隐藏方法的加密、解密和隐藏效果良好。     

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.     

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.     

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.     

基于菲涅耳变换的盲信息隐藏技术

在研究双随机相位加密和数字水印技术的基础上,提出了一种新的基于菲涅耳变换 的盲信息隐藏方法。该方法将待隐藏水印信息经过透镜组微缩或放大成像后,利用随机相位 板进行随机相位加密,然后离轴记录其像全息图像,通过编码将其以适当强度嵌入到原始宿 主图像中,从而实现盲信息隐藏。理论分析和仿真实验表明：该方法对JPEG有损压缩、图像 剪切、噪声污染、图像旋转、中值滤波等具有一定的抵抗能力,且具有一定安全性 、鲁棒性和不可见性,对于提高传输信息的隐蔽性具有重要意义。     

Separable reversible data hiding in encrypted image based on pixel value ordering and additive homomorphism

This work proposes a separable reversible data hiding scheme in encrypted images based on pixel value ordering (PVO). After the original image is encrypted using homomorphism encryption by the content owner, the data hider embeds the secret data in encrypted domain. The PVO strategy realizes hiding data in each block. Additive homomorphism guarantees the performance of PVO in encrypted domain is close to that in plain domain. Besides, the homomorphism encryption does not cause data expansion, and the payload can be further improved. With the watermarked encrypted image, if the receiver has only the data hiding key, he can extract the additional data. If the receiver has only the encryption key, he can obtain a decrypted image similar to the original one. If the receiver has both the data hiding key and the encryption key, he can extract the additional data without any error and recover the original image losslessly.     

单通道彩色图像加密方案

设计了一种基于三相位编码的单通道彩色图像加密方法。将彩色图像转换到HSI空间,I分量即可作为相位编码的原始待加密图像;H分量可作为第1个相位,采用双图像加密算法对S分量加密后得到的相位,与H分量构成了对I分量加密的2个相位,第3个相位密钥是S分量加密后得到的相位与变换输出的相位之差。由于基于分数傅里叶变换(FrFT)的双随机相位编码技术具有很高的安全性,在增加一重相位编码后,进一步提高了安全性,在不知道密钥的情况下几乎不可能获得原图像信息,由此保证了彩色图像加密的安全性。模拟实验结果验证了该方法的有效性和安全性。给出了光学实现方案,基于该算法设计了多幅彩色图像的加密方案。     

基于重复压缩的密文图像可逆数据隐藏方法

为了提高密文图像上的可逆数据隐藏方法的性能,在加密前处理图像以获得数据嵌入空间。首先,分析了在解压缩分块上进行可逆嵌入的可行性;其次,计算了成功恢复解压缩分块的理论概率;最后,提出了基于解压缩分块的密文图像可逆数据隐藏算法,主要过程包括预处理、加密、数据嵌入、数据提取与图像恢复。从图像恢复错误率、嵌入容量和PSNR这3个方面与3种已有方法进行对比,表明所提方法实现了数据提取和图像解密在操作上的完全分离,且图像恢复错误率更低,嵌入容量更大,PSNR更高。     

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.     

基于编码压缩和加密的图像可逆信息隐藏算法

提出一种编码压缩和加密的图像可逆信息隐藏算 法。计算载体像素预测值与其像素值的差值, 对差值进行哈夫曼编码压缩,通过压缩数据和随机数据加密重构图像,得到载体数据。将哈 夫曼编码的码 表和秘密信息隐藏在载体数据中,实现信息隐藏。在载密数据中提取码表数据和秘密信息, 对加密压缩数 据进行解密,结合码表和预测方法恢复原始图像。实验结果表明,本文算法具有较大的隐藏 容量,不仅能 正确提取秘密信息,还能无损恢复原始图像。