phase-correlation--match-

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！(First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!)

一种改进后的海森矩阵算法代码，针对医学图像处理效果比较好，可以识别较细的血管。(An improved Hessian matrix algorithm code, medical image processing effects for better, you can identify smaller vessels.)

贝叶斯小波去噪是基于小波变换得软阈值贝叶斯去噪算法。(Bayesian wavelet denoising is wavelet-based Bayesian denoising was soft-thresholding algorithm.)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV）。截止2014年8月，该论文单篇被引次数达25000余次。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)

实现LLE算法，本算法是改进的LLE算法，主要是针对人脸图像的。()

用matlab实现的c均值聚类算法，用于图像分割，分割效果很好(Matlab achieved with c-means clustering algorithm for image segmentation, segmentation well)

高斯粒子滤波算法详解及举例，模式转移矩阵计算，采样算法等，注释清晰(Gaussian Particle Filter algorithm description and examples)

本程序实现选定图像的Haar-like特征提取功能，方便学习者能直观的看到各类Haar-like特征值。代码简单易于理解。(The program implements the selected image Haar-like feature extraction function to facilitate the learners can visually see all kinds of Haar-like feature values. Code is simple and easy to understand.)

。基于Wirtinger流的相位恢复算法是由Emmanuel J. Candes等于2015年提出的新的相位恢复算法，该方法不再将光场函数局限于非凸集中，而是利用一种新的初始化方式以及迭代规则来寻找最优解。(a new approach about phase retri which is published in 2015)

DCT数字水印基于CVI平台。用c编写的。(DCT digital watermarking)