Image-conversion

立体程序，调试过能用，包括摄像机的标注，图像的立体分析，希望能帮到大家(Three-dimensional program, debug can be used, including the camera label, three-dimensional image analysis, I hope to help everyone)

这段代码的功能是实现图像去雾处理，Matlab代码，可以直接运行的(Functionality of the code is to realize image processing demisters Matlab code can be run directly)

利用改进的Sobel算子检测图像边缘,从水平、垂直、左右对角线的方向计算Sobel梯度，并且加入拐角的梯度值。(The improved Sobel edge detection operator, horizontal, vertical, left and right diagonal direction Sobel gradient calculation, and adding the value of the gradient of the corner.)

说明：  区域生长法的图像分割方法，效果分厂不错，值得借鉴！(Region growing image segmentation method, the effect of a good factory, worth learning!)

图象去污渍，mask为污渍图象，另一个为原图或受损图象(Image to remove stains, mask for stained images, and the other for original or damaged images.)

Bandelet变换的图像处理工具箱，包括图像处理的源程序(Bandelet transform image processing toolbox, including image processing of the source)

椭圆拟合，输入中心坐标及椭圆长半轴和短半轴即可画出相应椭圆(ellipse fitting)

基于离散2维小波变换的彩色图像水印程序。输入原图和logo，可直接得到水印图像。(Based on discrete wavelet transform 2-D color image watermarking program. Input original image and logo, watermarked image can be obtained directly.)

两个l1准则下的噪声干扰信号压缩感知重构举例，两个例子的稀疏矩阵均为DCT矩阵，而观测矩阵分别采用单位阵和随机矩阵，有详细的步骤和使用方法，适用于初步的学习压缩感知方法。(This programme supply two examples by Compressed sensing with l1 norm. The sparse matrix of two examples are all DCT matrix and the obsever matrix are unit matrix and random matrix respectively. We give the detailed usage and steps for the programme which is useful to the beginner.)

说明：  dctcom.m文件利用DCT变换完成对输入图像进行压缩；imagecbe.m完成对输入的两幅RGB图像用小波分析的方法进行图像融合 imagecom.m完成对输入的RGB图像用小波分析的方法进行自动降噪，得到高频系数阈值，降噪效果百分比和结果 wavelet1D.m完成对输入的一维信号进行多尺度离散小波分解 wavelet2D完成对输入的二维信号进行多尺度离散小波分解；zigzag.m完成对输入的8*8矩阵按照zigzag排列抽取数据.(document the use of DCT transform dctcom.m completion of the input image compression imagecbe.m completion of the two RGB input image with wavelet analysis method of image fusion imagecom.m completion of the input RGB image using wavelet analysis method automatically drop noise, the threshold of high-frequency coefficient, noise reduction effect and the results of the percentage of wavelet1D.m completion of the input signals of one-dimensional discrete wavelet multi-scale decomposition wavelet2D completion of the input signals of two-dimensional discrete wavelet multi-scale decomposition zigzag.m completed the input of 8* 8 matrix of data collected in accordance with the zigzag order.)