EMD-end-effect-reference-code

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

在mmatlab中将多波段的遥感图像（三维矩阵数据）转换成二维数据，与求邻域(convert the 3D image data into the 2D data in the matlab)

approche hybride firefly et k-mens pour la classification des image sat

说明：  序贯重要性采样——标准粒子滤波算法。可直接使用。(Sequential importance sampling- standard particle filter. Can be used directly.)

模糊聚类分割主函数及demo，直接运行就行，当然要有图片，呵呵(Main functions and fuzzy clustering segmentation demo, run directly on the line, of course, have pictures, Oh)

二维图像的处理，包括加入高斯噪声，椒盐噪声，滤波处理。(Two-dimensional image processing, including Gaussian noise, impulse noise, filtering.)

两船协同导航，利用EKF滤波，主要用于主从式的协同导航，滤波参数要根据实际需要合理调节(Collaborative navigation of both vessels, the use of the EKF filter, mainly used for the master-slave collaboration navigation filter parameters according to the actual needs of a reasonable adjustment)

说明：  该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。(The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.)

基于颜色衰减先验模型的单幅图像快速去雾算法。(A Fast Single Image Haze Removal Algorithm using Color Attenuation Prior)

实现了geodesic active contour图像分割算法，用到AOS scheme and level set method(Realize the geodesic active contour image segmentation algorithm, using AOS scheme and level set method)