image-sharpness

kmeans算法实现，对图像处理。亲自使用过，可用，供参考。(Kmeans algorithm for image processing.)

使用tensorflow框架搭建神经网络，从单目图像中估计深度值(Using tensorflow framework to build a neural network to estimate depth from monocular images)

DCT数字水印基于CVI平台。用c编写的。(DCT digital watermarking)

实验图像数据曲线描绘刻画，进行数据拟合：高斯拟合，平滑处理(gaussian nihe)

使用matlab代码求出不规则区域所对应的最小外接矩形(find the smallest rectantangle of unregular region with matlab)

用图切分（Graph_Cut）分割图像彩色图像、灰度图像及二值图像，效果较好，尤其是金相组织图像的分割更加有效。(Graph_Cut)

基于自适应的PCNN(神经耦合网络)融合,对图像的融合起到了很好的作用,是像素级的融合.尤其对于可见光和红外图像有很好的融合效果.(It is based upon the PCNN fusion which has a great effect on image fusion,especially when dealing with infrared picture and visible light picture.)

Computer Vision:Algorithms and Applications，Richard Szeliski，适合图像处理人群(Computer Vision: Algorithms and Applications, Richard Szeliski, suitable for image processing crowd)

说明：  包括三种gabor方案，3尺度4方向、4尺度6方向、5尺度8方向(Includes three gabor schemes, 3 scale 4 direction, 4 scale 6 direction, 5 scale 8 direction)

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.)