Jpeg/Jpeg2000压缩和解压缩的示例程序，支持JPP、JPC、JPG等图像格式...

一套由matlab编程的自然人脸特征提取与显示分析系统第四部分-Matlab programming from a natural facial feature extraction and analysis system showed that the fourth part

有四个M文件，可以用于图像处理中的图像细化，有较好的效果-There are four M documents, can be used for image processing of image thinning, there are good results

中值滤波是对一个滑动窗口内的诸像素灰度值排序，用其中值代替窗口中心象素的原来灰度值，它是一种非线性的图像平滑法，它对脉冲干扰级椒盐噪声的抑制效果好，在抑制随机噪声的同时能有效保护边缘少受模糊-Median filter is a sliding window from inside the gray value pixel sequencing, using a window center pixel value to replace the original gray value, it is a non-linear image smoothing method, its pulse-grade salt and pepper noise interference inhibition effective in suppressing random noise at the same time can effectively protect the edge of less fuzzy

图像增强的matalab程序，里面有基于小波的，contourlet变换的，拉普拉斯塔等的增强，比较详细，有说明文件里面-Matalab image enhancement procedures, which have based on the wavelet, contourlet Transform, etc.拉普拉斯塔enhanced, more detailed, it has documentation

图像的几种经典拼接算法，以及其他图像处理算法-Several classical image stitching algorithm, as well as other image processing algorithms

本程序利用小波变换的方法来获取图像的轮廓 来进行图像配准 先用小波变换检测图像中的边缘 在轮廓中寻找最长的轮廓 计算每间一点的曲率 然后对这些数据匹配 进行图像配准 找到图像的变换参数-This procedure using wavelet transform method to obtain the outline of the image to image registration using wavelet transform edge detection of images to find the longest in the outline of the outline of the calculation of the curvature of each point and then match these data to find the image registration image transformation parameters

图象处理中的一些经典代码 周长发书上的原代码 -err

这是一实现翻书的代码。-This is one realization of the code book.

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.

使用log-Gabor滤波器对图像进行滤波程序。-The use of log-Gabor filter image filtering process.