svd_nosie_removing

曲波变换的matlab图像处理工具箱。用于图像处理及增强(contourlet_toolbox,for image processing and enhancement)

说明：  Z. Liang, J. Xu, D. Zhang, Z. Cao, L. Zhang, "A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping," in CVPR 2018.

This extracts features images, that can be used to detect humans and objects.

用自相关法 来实现图像匹配，非常好用，值得一试(Autocorrelation method to achieve the image matching, very easy to use, it is worth a try)

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.)

该代码用于实现视觉目标跟踪研究中的协方差跟踪，能够把多种时空特征融合于统一的模型中，在实现视觉目标跟踪时具有较好的鲁棒性，而且其维数等于使用特征的数量，与各个特征的维数无关，因此，其计算复杂度较小，实时性较好。(This code is used to realize covariance tracking in the research field of visual object tracking of computer vision. It enables fusion of various spatial-temporal features into an unified object feature model, hence robust to noise. In addition, its dimension is equal to the number of the features used and independent of the dimensions of the features used. Therefore, it satisfies the requirement of real-time application due to its low computation cost.)

说明：  计算图像对应的各阶原点矩，中心矩，以及Hu不变量,输入是图像和矩的阶数。(Image raw，Central，and Hu s moments computation)

针孔模型中单应矩阵的求解 mian函数，测试单应矩阵计算的算法，程序流程如下 1、 读入两个图像。 2、读入4组对应点。 3、调用CalcH函数计算H矩阵。 4、在第一幅图中用鼠标选择一点。 5、调用WarpH函数计算在第二幅图中的对应的。 6、显示结果.(Pinhole model for solving the homography mian functions, test homography computation algorithm, program flow is as follows 1, read the two images. 2, 4 reads the corresponding points. 3, call CalcH function to calculate the H matrix. 4, in the first picture using the mouse to select it. 5, call WarpH function calculation in the second picture in the corresponding. 6 displays the results. )

打开BMP图像 IHS Brovey图像融合(Open the BMP image IHS Brovey Image Fusion)

基于小波模极大值贝叶斯阈值算法，实现图像吐糟的功能，与其他去噪方法进行对比。(Based on wavelet modulus maxima Bayesian threshold algorithm, spit bad image features comparison with other denoising methods.)