图像去雾

RMSHE算法（recursive mean-separate histogram equalization）。基本原理是将图像根据平均灰度进行分割，各部分分别进行直方图均衡。文件中包含RMSHE的matlab源代码，论文，以及输入图像(RMSHE algorithm (recursive mean-separate histogram equalization). The basic principle is that the image based on the average gray-scale is divided, each part respectively histogram equalization. File contains RMSHE matlab source code, papers, as well as the input image)

从原始图像产生噪声图像，使用db1执行2层小波，使用wpbmpen进行全阈值选择，采用硬阈值和软阈值处理方式,保存低频,进行图像降噪，并绘制各分解系数图像。(Generated noise image from the original image, using db1 wavelet perform two layers using wpbmpen full-threshold selection, using hard threshold and soft threshold approach, saving low frequency, image noise reduction, and draw the decomposition coefficients images.)

过特定人语音情感数据库的建立；语音情感特征提取；语音情感分类器的设计，完成了一个特定人语音情感识别的初步系统。对于单个特定人，可以识别平静、悲伤、愤怒、惊讶、高兴5种情感，除愤怒和高兴之间混淆程度相对较大之外，各类之间区分特性良好，平均分类正确率为93.7 。对于三个特定人组成的特定人群，可以识别平静、愤怒、悲伤3种情感，各类之间区分特性良好，平均分类正确率为94.4 。其中分类器采用混合高斯分布模型。(The system of speech emotion recognition)

共有5个代码其中4个分别实现图像的中值滤波、均值滤波、双边滤波、Lee滤波，另一个是求图像的均值和方差。模板均不固定自己根据需要确定合适的w值。(There are five codes of which four were achieved image median filter, mean filter, bilateral filter, Lee filter, and the other is seeking an image of the mean and variance. Templates are not fixed ourselves w appropriate values as needed.)

图像的亮度对比度增强，可对较暗的图像进行亮度增强(The brightness of the image contrast enhancement, may be dark image brightness enhancement)

Stereoscopic video coding

在使用envi中的band_math时需要将两张图像设置为相同的行和列，改程序解决了该问题(In use of envi band_math need two images set to the same rows and columns, change the program to solve the problem)

hough变换的图像倾斜校正的matlab源码，图像预处理的重要环节之一。(hough transform image tilt correction matlab source, an important part of image pre-processing one.)

说明：  sar图像去噪的几种新的方法，滤波效果明显，做毕设是在万方上找到的，分享一下(sar de-noising )

说明：  Hu不变矩的的一至七个矩的代码以及论文。matalb版本，可直接用。(Matlab Code of Hu Moment Invariant)