matlab程序。基于二维混合混沌图像加密的算法。

rsa matlab代码图像RSA 使用RSA进行图像加密和解密的Matlab代码 这是一个MATLAB代码，可使用MATLAB中的RSA密码系统对图像文件进行加密和解密

MATLAB数字水印系统（dwt dct 多攻击 GUI界面）。matlab，需要具备一定编程基础。

贝叶斯压缩感知源代码（Matlab版）

行业分类-嵌入式设备-联合零水印嵌入的图像加密方法和装置.zip

本压缩包是我复现的八篇图像加密程序。其中就包括Signal processing、Information scineces、Optik、Nonlinear dynamics、International journal of bifurcation and chaos以及IEEE access等期刊的混沌图像加密算法。

logistic 图像加密 解密 matlab 魔方变换

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