Image-Denoising-

多类图像特征结合上下文信息进行目标识别（分类、分割）(Many types of image features combined with context information for target identification (classification, segmentation))

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)

说明：  图像特征提取的四种算法，花了很大的力气才弄来的！和大家分享！(Four types of image feature extraction algorithm, to spend a great deal of effort to get the! To share with you all!)

基于整数小波变换的图像可逆水印，很好用，可逆性很强，自己查找的资料(Image reversible watermarking based on integer wavelet transform is very useful. It has strong reversibility and finds information by itself.)

计算指纹方向场的代码。。。。。。。。。。。。(code for computing orientation of fingerprint )

基于DCT,DWT,SVD的图像鲁棒水印算法，并在GUI界面展示(Image watermark algorithm based on DCT, DWT, SVD and displayed on GUI interface.)

MATLAB去雾算法程序，内附去雾图片，完全可以运行。(MATLAB fog removal algorithm program, attached to the fog picture, can run.)

提出一种基于小波变换的图像配准方法。该方法首先用小波变换提取边缘特征点, 同时构成小波金字塔影像。在最高层利 用角度相关系数确定基准图像和配准图像之间的旋转角度, 经多分辨分级搜索匹配得到最终匹配特征点对, 利用这些特征点对待 配准图像进行配准纠正。实验结果表明, 改进方法有较好的效果, 可用于广泛应用领域。(Proposed a wavelet-based image registration method. In this method, using wavelet transform to extract the edge feature points, the same time constitute wavelet pyramid image. Point at the highest level the correlation coefficient using the baseline image registration between image and the angle of rotation, the multi-resolution hierarchical searching and matching features of the final match point, the use of these features point towards registration image registration correction. Experimental results show that the improved method has better results, can be used for wide range of applications.)

光线跟踪，计算机图形学的实验，实现的是消隐，光线之间的遮挡等(Ray-tracing, computer graphics experiments, realize that the hidden light, such as between the block)

新的水下图像对比度增强和分割算法（实现对比度的增强和图像分割，内容包括：新的水下图像对比度增强算法、水下图像的分割算法--2008a）(The new underwater image contrast enhancement and segmentation algorithm (implemented contrast enhancement and image segmentation, including: new underwater image contrast enhancement algorithms, underwater image segmentation algorithm- 2008a))