rgbquadtree

机器视觉之模糊图像复原，实现inverse Filter, Wiener Filter, Lucy-richardson 算法，里面包括PPT，代码和报告。非常有价值，值得参考！ (Machine vision blurred image restoration, achieve The inverse Filter, Wiener Filter, Lucy-richardson algorithm, which includes the PPT, the code and report. Very valuable and worth considering!)

用mfc编程实现数字图像处理的一些简单操作，只能处理bmp格式图片。调节对比度、亮度、边缘检测等。(Mfc programming with some simple digital image processing operations, can only deal with bmp format images. Adjust contrast, brightness, edge detection.)

ENVI中HDF5科学数据支持补丁,更新为一个SAV文件 ,放在安装目录的save_add文件 夹下，启动ENVI即可使用。(HDF5 scientific data in support of ENVI patches, updates to a SAV file on the installation directory save_add folder, start ENVI can be used.)

包括harris经典算法、harris-Laplace算法，以及susan算法，鲁棒性好(Harris, including the classic algorithm, harris-Laplace algorithm, as well as susan algorithm, better robustness)

在MATLAB中，信号S经过信道H卷积后生成接收信号V，V＝conv(S,H),从V和H反卷积(In MATLAB, the signal S after convolution H channel generated receive signal V, V = conv (S, H), from V and H deconvolution)

最小二乘法拟合圆vc实现，最小二乘法(least squares analysis)是一种 数学 优化 技术，它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。(least squares fitting round vc realized, least-squares method (least squares analysis) is a mathematical optimization techniques, It error by minimizing the square and a group of data to find the best matching function. Least-squares method is the most simple method to derive absolutely true value unknown, and so the sum of squared errors to the minimum.)

水下图像增强方法，可以对退化的水下图像进行图像复原，但是对太模糊的水下图像不适用。(a method of underwater images enhancement)

基于分块可压缩传感的图像重建，里面包括contourlet、DWT、DDWT、DCT，图像压缩传感与重建。(Based on the sub-block compressible sensing image reconstruction, which include the Contourlet DWT DDWT,, DCT image compression sensing and reconstruction.)

各向异性扩散相干斑降噪，可以在增强边缘的同时滤出噪声，效果很好！(Anisotropic diffusion, coherent noise can enhance the edge of the filter out the noise at the same time, the effect is very good!)

说明：  图像形态学处理，图像腐蚀，图像膨胀，图像细化，边缘检测(Morphological image processing, image corrosion, image expansion, image thinning, edge detection)