CS_Lenabmp

图像处理实现计算信噪比功能，Image processing functions to achieve SNR calculation(Image processing functions to achieve SNR calculation)

Jsteg隐写算法[23][24]由D. Upham提出，该算法将秘密信息嵌入在量化后的DCT系数的LSB上，但值为-1、0、+1的DCT系数例外。提取秘密信息时，也只是将隐藏信息的图像中不等于-1、0、+1的量化DCT系数的LSB取出即可(steganography of jsteg)

基于侧抑制的图像分割，在ＰＣＮＮ分割的基础上实现(failed to translate)

自己实现的sift特征提取的matlab代码，可以计算特征描述子用于图像匹配，不过速度有点慢(Own implementation of sift feature extraction matlab code to calculate feature descriptors for image matching, but a bit slow)

CLG光流算法代码，包含误差分析，TV算法经典(CLG optical flow algorithm code, including error analysis, TV classic algorithm)

编程实现了抑制sar图像相干斑噪声的精致lee滤波算法，效果很好(refined lee)

高斯滤波是一种线性平滑滤波，适用于消除高斯噪声，广泛应用于图像处理的减噪过程。通俗的讲，高斯滤波就是对整幅图像进行加权平均的过程，每一个像素点的值，都由其本身和邻域内的其他像素值经过加权平均后得到。高斯滤波的具体操作是：用一个模板（或称卷积、掩模）扫描图像中的每一个像素，用模板确定的邻域内像素的加权平均灰度值去替代模板中心像素点的值。(Gaussian smoothing filter is a linear filter for the elimination of Gaussian noise, the noise reduction process is widely used in image processing. Popular speaking, a Gaussian filter to the whole image is a weighted average of the process, the value of each pixel, both by itself and other neighborhood pixel values obtained after weighted average. The specific operation Gaussian filter is: a template (or a convolution mask) to scan each pixel in the image, a weighted average gray value of the neighborhood is determined using a template to replace the pixel value of the center pixel of the template.)

说明：  classic goldstein filter by matlab for interferogram phase noise filtering(classic goldstein filter by matlab)

编程实现灰度图像的几种常用的边缘检测算法，包括：梯度边缘检测算法、Roberts边缘检测算法、Sobel边缘检测算法、拉普拉斯边缘检测算法、canny边缘检测算法、Prewitt边缘检测算法和Krisch边缘检测算法。

radon算法opencv实现，能够很好的实现图像的水平旋转矫正。( implementing the radon by opencv.)