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彩色图像的篡改检测及自恢复算法
- 彩色图像的篡改检测及自恢复算法赵春晖，孙建军，朱海峰(哈尔滨工程大学信息与通信工程学院，黑龙江哈尔滨150001)摘要：数字水印是图像认证的有效手段之一．利用小波变换提出一种计算简单的彩色图像水印算法，将一个图像的主要内容嵌入该图像自身之中，用均值量化的方法在亮度信号中嵌入水印，实现篡改检测和定位篡改区域；用多余的色度空间嵌入亮度信号和色度信号，用于恢复被篡改的图像内容．该算法可以获取较高的峰值信噪比，具有很好的鲁棒性．实验结果表明，该算法对删除、替换等恶意图像篡改具有良好的检测、定位和自修复能
localnormalize
- LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image. ln=localnormalize(IM,sigma1,sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaus
m_function.rar
- 计算图像的均方差 绝对误差 以及自熵或自信息量的函数 ,Calculating the image mean absolute error variance, as well as the amount of information from the entropy of a function or self
Spatial-filtering-of-images
- 现有三幅图像，图像1是包装瓶中的气泡图片，图像2是印刷电路板的元器件焊接质量检查图，图像3是封装后的胶囊状药品。实验要求从这三幅图片中， 1. 选择一副图像，并叠加零均值高斯噪声，分别利用均值滤波和中值滤波器对该有噪图像进行滤波，显示滤波后的图像，比较两滤波器的滤波效果。 2. 选择一副图像，并叠加椒盐噪声，分别用均值滤波器，中值滤波器对该图像进行滤波，比较滤波器的滤波效果。 3. 选择一幅图像，分别利用Laplacian算子和Sobel算子对图像进行锐化操作，比较锐化的效果。-Th
raPsd2d.rar
- The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the R
roi12days
- Code to select a roi of an image and determine his mean and standar desviation for fluorescence images.
ImageProc
- 一些常用的图像处理cpp和对应的matlab接口 是非常常用的一些代码-Quick list of the source included: imhist_thresh.cpp: Generate histogram from data,# of bins based on unique values. imsmarthist_thresh.cpp: equalize data based on histogram imsmartstd_thresh.cpp: equal
Image_kurtosis_skewness_function
- 图像峰度偏度函数，函数的变量里需要指明平均值和方差-Image kurtosis skewness function, the function of the variable need to specify the mean and variance
0houghtoedge
- 可以检测图像中圆和直线的信息，有利于初学者使用学习。-Edge detection has played an important role in the field of computer vision. A parametric edge detection method based on recursive mean-separate image decomposition is introduced. A method for automatic parameter selection
Segmentation
- Proccesing Digital Image to segmentation of image: know the characterist of an image, color, mean, etc.
codes
- 1: MSE.m : to perform Mean Square Error between 2 images 2: most.m : to get the most redundant value in a matrix 3: getneighbors.m : to get circular neighbors of pixel 4: ColorSpaceConversion.m : convert an image into different color spaces and
ImageProcessing
- 对一幅图像加入高斯噪声和椒盐噪声后，分别进行均值滤波和中值滤波，比较两种滤波方法的优缺点-Of an image by adding Gaussian noise and salt and pepper noise, the mean filter, respectively, and median filtering, comparing the advantages and disadvantages of the two filtering methods
A.Blind.MPEG-2.Video.Watermarking.Robust.to.Regula
- Abstract—Based on the observation that low-frequency DCT coefficients of an image are less affected by geometric processing, we propose a new blind MPEG-2 video watermarking algorithm robust to camcorder recording. Both the embedding and extr
Snake-model-bsegmentation-method
- 改进的T- Snake 算法首先在分水岭法中, 对相邻区域以其像素数、灰度均值和灰度方差定义距离, 并据其在图像上建立新的连通图, 以对图像过度分割而产生的一些过小区域合并 其次, 在模型跨边缘时, 利用已分割断层图像中模型内部区域的统计特征, 用区域生长法获取内点并重新参数化模型, 使模型不再跨边缘, 以保证模型形变到正确的边缘-Improved T-Snake algorithm first law in the watershed, the number of pixels in its
image-details
- This funstion represents mean,Std,energy of image,CUMULATIVE GRAY LEVEL DISTRUBITION,mode of image, entropy, HISTOGRAM MODIFI,of an image-This funstion represents mean,Std,energy of image,CUMULATIVE GRAY LEVEL DISTRUBITION,mode of image, entropy, HIS
Statistics-of-visual-representation
- 一种图像质量评价方法，基于均值和方差的评价方法，比较简单实用，拥有较好的参考价值-An image quality evaluation method based on the mean and variance of the evaluation method, relatively simple and practical, have a good reference value
Image-information-calculator
- 自己做的一个图像信息计算器,实现一张图像的各种信息计算,包括均值方差信息熵等,还有两张图像之间的加减乘除运算等,便于搞图像分析的朋友们计算分析问题-Own image information calculator, a variety of information to achieve an image, including the information entropy of the mean-variance between the two images, Math computing ea
Least-Square-Fitting-of-Ellipses
- this matlab code is a least mean square error method for ellipse fitting that can fit the best ellipse in an image-this matlab code is a least mean square error method for ellipse fitting that can fit the best ellipse in an image
Mean-shift-segmentation-algorithm-for-color-image
- The goal of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. Here similar looking pixels are grouped together for efficiency of further processing. In segmentation a l
roman ii
- Most of the medical images are affected by different types of noises during acquisition, storage and transmission. So denoising of an image is a basic step in medical image processing. The normally used filtering techniques are, median and mean filte