With the increasing requirements of the performance in secure communication filed based on chaos, chaotic systems have been gradually developed into higher dimensions. Because the sequence generated by onedimension chaos, such as Chebyshev map has the problem of weak chaotic properties and uneven distribution, a new two-dimensional chaotic map, called Logistic-Adjusted-Chebyshev map (2D-LACM), is proposed in this paper which enlarges the range of chaotic control parameter, and expands the range of surjection to the entire control parameter interval to make the distribution of the sequence more uniform. Compared with other improved chaotic maps, the proposed 2D-LACM in this paper has more complex chaotic properties and better ergodicity. Next, a visualized image encryption algorithm based on 2D-LACM is proposed (LACM-VIEA), which can encrypt the plain image into a noisy image, and then embed it into a cover image of the same size. In order to demonstrate the security of LACM-VIEA, the algorithm is analyzed in detail from the aspects of key, histogram, visual effect, robustness and anti-plaintext attacks, etc. The final analysis results show that LACM-VIEA has good security performance.

A new two-dimensional chaotic system in the form of a cascade structure is designed, which is derived from the Chebyshev system and the infinite collapse system. Performance analysis including trajectory, Lyapunov exponent and approximate entropy indicate that it has a larger chaotic range, better ergodicity and more complex chaotic behaviour than those of advanced two-dimensional chaotic system recently proposed. Moreover, to protect the security of the crowd image data, the newly designed two-dimensional chaotic system is utilized to propose a visually meaningful image cryptosystem combined with singular value decomposition and Bernstein polynomial. First, the plain image is compressed by singular value decomposition, and then encrypted to the noise-like cipher image by scrambling and diffusion algorithm. Later, the steganographic image is obtained by randomly embedding the cipher image into a carrier image in spatial domain through the Bernstein polynomial based embedding method, thereby realizing the double security of image information and image appearance. Besides, the visual quality of the steganographic image can be improved by the adjustment factor according to different carrier images during the embedding process. Ultimately, security analyses indicate that it has higher encryption efficiency (2 Mbps) and the visual quality of steganography image can reach 39 dB.

【图像加密】基于DCT(离散余弦变换)与SVD(奇异值分解)域自适应嵌入水印matlab源码.md

合肥工业大学密码学课程设计 图像加密 源码加报告 matlab实现 带GUI界面 报告里有详细的使用说明。课程设计得分优

为了进一步研究具有更高安全性的加密方法，结合基于DNA编码思想、祖冲之密钥流产生器以及分组加密结构，提出了一种基于祖冲之算法和DNA编码的图像分组复合加密方法。该方法首先利用祖冲之算法产生分组加密结构的密钥流；然后对明文图像信息以及密钥流进行DNA编码；最后利用分组迭代轮数的奇偶性决定明文图像分块模式，并基于DNA符号运算的改进Feistel分组结构实现明文图像分组加密，将加密结果进行DNA编码反变换生成最终密文图像。通过安全性分析，该算法具有很好的抗攻击能力和有效性，可以广泛应用到图像信息安全保护中。

使用MATLAB实现祖冲之算法加解密图像。祖冲之(ZUC)算法因其采用了线性反馈移位寄存器(LFSR) ， 比特重组(BR)和非线性函数 F 的三层结构设计， 极大地增强了该算法的安全性。而且， ZUC 算法在设计时充分考虑了软硬件实现的复杂度， 所以 ZUC 算法的软硬件实现开销较小， 硬件实现功耗小。此外， 由于 ZUC 算法流式产生密钥的快速实时性， 非常适合用于数字图像的加解密。最后， 将 ZUC 算法实现， 并对数字图像进行加解密， 取得了很好的加密效果。

AES加密算法在图像加密上的应用及MATLAB实现.pdf

基于MATLAB的数字图像加密研究.pdf

一个混沌算法的图像加密程序，演示了图像的读写，几种混沌算法如何用于图像的加密解密。

matlab图像加密-彩色-灰度都可以，解密-加密都有，直接使用即可。