zishiyinglvbo

格子波尔兹曼来实现图像修复，能够快速高效的实现图像修复(Lattice Boltzmann for image restoration, fast and efficient image restoration)

该文档是自适应信号处理研究的一篇研究生毕业论文，介绍了自适应的几种常见算法，如LMS，NLMS等等，并在最后有相关的MATLAB程序（LMS程序 自适应滤波器，陷波器，分离器等程序）可以作为自适应信号处理初学者的参考资料(This document is an adaptive signal processing graduate thesis introduces several common adaptive algorithms, such as LMS, NLMS, etc., and the final program has an associated MATLAB (LMS process adaptive filter, notch , splitters and other procedures) can be used as a reference adaptive signal processing information for beginners)

db4小波的提升小波分解，从已发表的论文中得来，可放心使用(db4 wavelet lifting wavelet decomposition, the published papers come, you can be assured)

双线性插值算法是一种空间域的错误掩盖算法，本程序实现了用双线性插值算法恢复受损图像的matlab程序(Bilinear interpolation algorithm is a spatial domain error concealment algorithm to achieve this program using bilinear interpolation algorithm to restore damaged image matlab program)

分子图像处理的软件，但没有数据库，具体操作看操作说明(Molecular image processing software, but there is no database, see the specific operation instructions)

SSR算法，自己已经测试过了，绝对可以使用！！！！而且我自己增加了直方图显示。希望能帮助到大家~~(SSR )

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为OMP算法，对256*256的lena图处理，比较原图和OMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and OMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using OMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

提取图像的局部二值特征；广泛用于纹理特征提取 具有旋转不变性(Extract local two value features of images; widely used in texture feature extraction. Rotation invariance)

matlab实现的小波降噪声图像处理算法，效果十分好，自己做了调试。(The wavelet reduced noise image processing algorithm realized by Matlab is very effective and has been debugged.)

C++ code implementing the estimation of errors-in-variables models under point dependent noise. It includes examples for linear, ellipse, fundamental matrix and trifocal tensor estimation. The theory is described in A general method for errors-in-variables problems in computer vision(err)