kernel-Function

文本数字水印技术极富挑战性. 首先简述了文本的分 类 然后介绍了文本数字水印技术领域的主要研究成果和最新进展,包括基于文档结构、自然语言 处理技术和传统图像水印技术三类方法 从容量,鲁棒性,技术基础等方面比较了现有成果,分析了 各类方法的主要优缺点 最后在总结现有成果的基础上展望了文本数字水印技术的前景,指出了该 技术未来可能的研究重点以及待改进和研究的方向.(Text digital watermarking technology challenging, first outlined text points Class then presents the main findings and the latest developments in the field of text digital watermarking technology, including those based on document structure, natural language Processing technology and traditional method of image watermarking technology categories from the capacity, robustness, technology infrastructure and other aspects of the existing comparative results analyzed The main advantages and disadvantages of various types of methods finally summarize the results on the basis of the existing prospect foreground text digital watermarking technology, pointed out that Technology and possible future research priorities for improvement and research directions.)

一个非常简小灵便的DICOM文件阅读器,支持多种格式的文件，支持图片的大多数编辑功能。(A very simple and handy DICOM file reader supports multiple formats of files and most editing functions of pictures.)

利用双线性插值，获取亚像素位置的灰度值。适用于得到sift、surf得到的特征点坐标处的灰度值获取(The gray value of sub-pixel position is obtained by bilinear interpolation)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

互信息和梯度相结合的图像配准算法，在配准中引入了图像的空间信息(Mutual information and gradient combination of image registration algorithm, the introduction of registration in the image of the spatial information)

2009年CVPR最佳论文《Single image haze removal using dark channel prior》暗原色图像去雾的算法实现。与原文不同的是本程序没有完成最后matting细化效果的部分，但仍能够达到视觉上可以接受的去雾效果。计算机视觉课程作业。工程运行于VS2008环境，需要OpenCV支持。Debug目下exe文件可以直接双击运行查看结果。(CVPR 2009 Best Paper " Single image haze removal using dark channel prior" to the dark fog of the primary image algorithm. The difference is that with the original program did not complete the final matting refinement part，yet haze-removal result is visually acceptable. Visual course work. This project runs under VS2008 with OpenCV. Double click the exe file under Debug folder to check the final result.)

利用多线程技术把数据处理模块和图像显示模块分离，实现视频监控功能。(The use of multi-threading technology to data processing and image display module separation module for video monitoring.)

通过统计直方图并作相应的处理完成了红外图像非均匀性校正，特别是针对红外图像中常见的条纹非均匀性(Through statistical histogram and processed accordingly infrared image non-uniformity correction, especially for the common striped infrared image non-uniformity)

综合多个特征的图像检索，包括颜色、形状和纹理等(Integrated multiple features for image retrieval, including color, shape and texture)

迭代阈值方法进行图象分割的函数,有测试程序和图片(threshold iterative method of image segmentation function, test procedures and Photo)