image-repair

matlab提取图像的纹理特征，包括方差、熵、角二阶矩等特征。(matlab extract the texture features, including variance, entropy, angular second moment and other features.)

该文件夹包括基于邻阈的小波图像去噪程序。主程序为wave_neighbor.m，实现3*3和5*5邻域去噪；wov_win.m为函数m文件，实现3*3和5*5的滑动窗口；cacupsnr.m为函数m文件，计算mse和psnr等。(This is about image denoising with the method of wavelet.It includes 3×3 and 5×5 neighborhood window.)

我写的贝叶斯fusion的Visual C+++源码，简明易懂，提供参数说明 可直接使用。 (The Bayesian fusion the Visual C+++ of what I wrote source, easy-to-understand parameters can be used directly.)

说明：  针对现有方法存在的隐藏容量低、操作不灵活的缺陷，文章提出了一种基于无损压缩的加密图像可逆 信息隐藏算法。(In view of the defects of low hiding capacity and inflexible operation of the existing methods, this paper proposes a reversible information hiding algorithm for encrypted images based on lossless compression.)

实验2绿叶变色，实验3图像数字化显示，实验4图像类型转换，实验5对比度增强，实验6直方图均衡化和规定化，实验7噪声添加和空域滤波，实验8边缘增强和边缘检测，实验9彩色图像增强，fft，dct，dwt变化及压缩，滤波器，实验20运动退化和维纳波复原，实验21图像的几何畸形校正等实验的代码和报告(Experiment 2 leaves change color, 3 digital image display, the image type conversion, 4 5 contrast enhancement experiment, the experiment 6, histogram equalization and regulations 7 noise adding and spatial filtering experiment, experiment and edge enhancement and edge detection, the experiments of 9 color image enhancement, FFT and DCT, DWT and compression, filter, degradation experiment of 20 movement and wiener recovery, experiment 21 image geometric deformity correction code and report)

采用模版匹配方法进行文字、局部图像的匹配....采用ssda算法(The template matching method for text, local image matching... The ssda algorithm)

说明：  图像多尺度几何分析 contourlet 变换的matlab工具箱(Multiscale geometric analysis contourlet transform matlab toolbox)

通过高通滤波器实现对图像的锐化处理，能去除不需要的模糊轮廓而加强边缘的对比度。(Image sharpening to achieve through a high-pass filter, and enhance the contrast edges blurred outline can remove unwanted.)

数字图像处理中对分类器优劣的判定常用的ROC/ACU源码。希望对你有用。(The ROC/ACU source code commonly used in the determination of the quality of the classifier in digital image processing. I hope useful to you.)

shi-tomasi方法角点提取方法。该方法测量结构张量的最小特征值。这代表了Harris和诺贝尔探测器试图近似的理想。哈里斯希望在计算特征时避免计算平方根的计算成本。(Shi-Tomasi corner detector method.The method measure returns the minimum eigenvalue of the structure tensor. This represents the ideal that the Harris and Noble detectors attempt to approximate. Back in 1988 Harris wanted to avoid the computational cost of taking a square root when computing features. This is no longer relevant today!)