shearlet

孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度，影响了后续目标检测、分类和识别 等应用。因此，SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平 滑的同时保持图像的边缘等细节不受损失，目前存在各种各样的算法，但没有一种方法能够完美的满足这一要求。 本文对SAR图像的相干斑抑制问题进行了全面系统的研究，分析了相干斑的形成原因，总结了目前存在的相干斑 抑制算法的主要思路，介绍了具有代表性的算法，并对各种算法的性能进行了定性分析和比较，给出了去斑算法定 量评估方法(The inherent speckle noise of the aperture radar image seriously reduces the degree of interpretation of the image, and affects the detection, classification and recognition of the subsequent targets. And other applications. Therefore, the problem of speckle suppression in SAR images has been one of the most important topics in the application of SAR images. An ideal speckle algorithm should be flat At the same time, the details such as edges of images are not lost. There are various algorithms at present, but none of them can satisfy this requirement perfectly.)

几种图像增强的方法，有双直方图均衡，函数均衡等几种方法(several image enhancement methods, a double histogram equalization, function balance methods)

遥感图像的色彩变换 能从IHS转换到RGB 并能从RGB转换到HIS 效果比较好(Remote sensing images from the IHS color transform to the RGB and the conversion from RGB to HIS conversion effect is better)

C#实现多边形颜色的填充，主要是种子填充和种子扫描线填充两种算法。(C# implementation of the polygon fill color, mainly seeds and seed filling scan line fill two algorithms.)

基于正则化项的最大后验概率重建的一段程序，简单易懂(Based on regularization item maximum a posteriori probability reconstruction of a program, simple and understandable )

维纳滤波和均值滤波，及利用自适应维纳滤波的图像去噪MATLAB代码，效果优于维纳滤波(Using adaptive Wiener filtering for image denoising MATLAB code, the effect is better than Wiener filtering)

基于matlab的保偏光纤环零漂的影响仿真，从原理上探究单模光纤扭转对光纤角速度传感器零漂的影响。(Matlab-based polarization maintaining fiber ring zero drift effects simulation, in principle, to explore the fiber single-mode fiber to reverse the impact of the angular velocity sensor zero drift.)

应用于图像压缩的SPIHT算法代码，此代码的步骤很清晰，我自己加了很多注释，特别好理解。(SPIHT code which is used in image compression,with many notes of my own so really easy to understand.)

说明：  本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料(this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information)

该程序可以对图像进行二值化处理，提取边缘点坐标。(The program can be two-valued image processing, extraction of the edge point coordinates.)