pingyi

提出了一种大容量的可逆信息隐藏算法的详细实现方案。利用图像直方图中的多个零点或者最小点, 通 过修改图像像素的灰度值来隐藏信息, 并通过统计分析给出常用的信息隐藏的模型和算法。(Presents a large reversible capacity detailed information hiding algorithm implementations. Using the image histogram, or the minimum number of zero points, by modifying the image pixel gray value to hide the information, and is given by commonly used statistical analysis model and algorithm for information hiding.)

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 )

在图像处理过程中盲解卷积也是一个很好地图像去噪的方法。(In the image processing method of blind deconvolution is also a good image denoising.)

Mean shift and other image segmentation algorithms.

实现高斯模糊，运动模糊等的点扩展函数psf的估计，并复原(The estimation of point spread function PSF, such as Gauss blur and motion blur, is realized and restored.)

图像去模糊处理，分别运用了维纳滤波器、deconvreg方法、deconvlucy方法、盲反卷积等方法。非常实用(Image deblurring processing, namely the use of the Wiener filter, deconvreg method, deconvlucy methods, blind deconvolution methods. Very useful)

基于MALTAB实现的舌象纹理特征提取，程序不大但是使用(ongue like texture feature extraction matlab implementation tongue like texture feature extraction matlab implementation)

主动轮廓模型结合一个特殊的显著性方法实现目标分割(using active contour with a special salient detction modle to segment an image )

Relief-F 算法是由 Kononenko 在 Relief 算法基础上扩展得到的，可以用来解决多分类与回归问题。 Relief-F 特征选择算法利用特征与类别间的相关程度判别特征的敏感程度，敏感的特征能使同类样本靠近，非同类样本远离。基本思想是： 先随机从总样本集 D中获取一个样本 R， 然后在 与 R 同类样本集中和与R 异类 样 本 集 中 各 获 取 k 个近 邻 样 本， 在 特 征 集 F中如果某个特征上异类样本的距离大于同类样本，则这个特征是有利于分类的，增加其权重，重复 n 次 取所有结果的均值作为每个特征的最终权重值.

利用svm算法分类图像。示例中：将篮球场和网球场利用算法自动分类，包含了基于颜色矩的彩色图像特征提取算法(image classification using SVM algorithm)