matlabDCTwatermark

利用小波熵自适应去噪并求出各层熵值（绝对值表示） 及权重，自写论文(Using wavelet entropy adaptive de-noising and the obtained layers entropy (absolute value) and weight, since writing papers)

final year project related thing.

说明：  光流计算得到运动场。使用算法为Lucas Kanade算法。(optical flow calculated Sports Ground. Lucas uses algorithms to Kanade algorithm.)

图像的简单匹配程序，在左影像上点一点，然后使用相关系数法在右影像上进行全局遍历，找到相关系数最大的点，设为匹配的目标点。(Simple image matching program, the image on the left point a little, and then use the correlation coefficient on the right image globally traversal, find the maximum point of the correlation coefficient, to match the target point.)

显示不同类型的色表，并查找相应区域或位置的值。 基于idl编程 (Show the different types of color tables, and find the corresponding value of the region or location. Idl-based programming)

完成流程编码和huffman编码，适合做图像编码的熵编码，只要调整接口就好。(Complete the process encoding and huffman coding, image coding suitable for entropy coding, as long as the adjustment of the interface is like.)

说明：  对图像进行配准，方便快捷，分为对比差异，粗配准与精细配准三步(Image registration is convenient and fast. It can be divided into three steps: contrast difference, rough registration and fine registration.)

包括图像输入（打开文件、采集、捕捉图像、从剪贴板粘贴、打开扫描软件、灰度化、添加随机噪声、椒盐噪声、去噪声）、图像处理（几何变换、灰度反转、直方图均衡化、直方图统计、图像复原、边缘提取、伪彩色、二值化、图像变换）、图像输出（另存图像、打印输出、复制到剪贴板）(Including image input (open the file, capture, capture images, paste from the clipboard, open the scanning software, graying, adding random noise, Salt and pepper noise, to noise), image processing (geometric transformation, gray inversion, histogram equalization oriented, histogram statistics, image restoration, edge extraction, pseudo-color, binary, image transform), image output (save the image, print out, copy to clipboard))

利用改进的“参考白”算法对彩色图像进行光照补偿(Using improved "reference white" algorithm to compensate illumination of color image.)

最小二乘图像影像匹配方法，一个很详细的源码例程，有过程有结果，希望对初学者有帮助。高斯解方程，以及最小二乘匹配，里面都很详细。(Squares image image matching method, a very detailed source code routines, the outcome of the process, I hope to help beginners. Gaussian solution of equations, and least squares matching, which is very detailed.)