基于无损压缩的加密图像可逆信息隐藏_郑淑丽

图片雾化效果 实例

盲水印提取时不需要参考原始载体图像,在信息隐藏、版权保护等方面具有更广泛的应用前景。提出的盲水印算法在分块离散余弦变换(DCT)和离散小波变换(DWT)的基础上,利用关系双方DCT系数和DWT系数在受到攻击时具有相同变化趋势的特点,采用关系嵌入和量化嵌入的自适应选择嵌入策略,较大幅度地提高了盲水印提取的鲁棒性。同时在量化嵌入中采用抖动调制,实现了水印透明性和鲁棒性调节的便捷性。大量仿真实验结果表明该算法对噪声干扰、低通滤波、JPEG压缩、对比度增强等攻击有很好的鲁棒性和透明性。关键词 数字水印盲水印关系嵌入量化嵌入离散余弦变换离散小波变换 按这篇文章的算法，自己编的matlab,没有攻击时水印提取率为1，加水印后图像PSNR有45+，。有攻击后提取率也有0.9+。(Blind watermark extraction can be fulfilled without referring to the original host image. Therefore it hasmuch prospective applications in the fields of information hiding and copyright protection. Based on blocking Discrete Cosine Transform (DCT) and blocking DiscreteWaveletTransform (DWT), the proposed blind watermarking algorithm uses an embedding strategy of adaptively selecting either relationship embedding or quantization embedding. The relationship em- bedding comes from the observation thatboth themagnitudes of coefficients concerned in the relationship usually have thesame change trend when the image is attacked. This strategy remarkably improves the robustness ofwatermark extraction.In addition, dithermodulation is used in quantization embedding, bywhich the tradeoff between transparency and robus-tness ofwatermarking can be easily adjusted. Simulation results show that the algorithm is fairly robust against the attacks such as noise, filtering, compression, and contrast )

(l)小波分析理论在变形监测数据处理研究中的理论意义和实用价值 (2)小波阂值去噪和多分辨分析在变形监测信号分析中的应用 (3)在算法和图像处理方面的优越性 ((L) wavelet analysis theory in the study of deformation monitoring data processing theoretical significance and practical value (2) wavelet thresholding denoising and multi-resolution analysis in deformation monitoring signal analysis application (3) in the algorithm and image processing superiority )

经典的数字图像处理的形态学处理，包含源代码(Digital image processing morphological processing)

全屏显示窗体。通过快捷键F11实现程序全屏显示的效果。(Full-screen display of the form. Through the shortcut key F11 to achieve the effect of full screen display.)

一种改进的对比度分割算法。对红外图像有很好的分割效果。(an improved contrast ratio segmentation algorithm. The infrared image segmentation is a good result.)

transver mat file format to raw file format, simply matlab code, usd to 3D medical image processing/data input

提出一种基于空间域的多聚焦图像融合技术：首先计算点分布函数（PSF），然后利用PSF模糊源图像，最后通过组合原图像中较为清晰的像素点来生成全聚焦图像。(We propose a multi-focus image fusion based on space domain techniques: First calculate the point distribution function (PSF), then use the PSF fuzzy source image, and finally to generate omni-focus image by combining the original image clearer pixels.)

希尔伯特黄变换方法的安全评估matlab源程序(Hilbert-Huang Transformation security assessment)

基于Hough变换和基于Radon变换的直线检测算法代码(source code of two straight line detection algorithm (based on Hough Transform and Radon Transform))