基于无损压缩的加密图像可逆信息隐藏_郑淑丽

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【实例简介】

该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。(This document contains codes and the corresponding paper. The aim is to simulate a physiological characteristic of human visual system called visual attention mechanism. The code is used to detect salient objects or regions following the way human eye observes the world. The relation between density and scale of salient object/region is described. It has found widespread use in numerous applications such as biological vision simulation, visual object detection, visual object tracking, visual intelligent surveillance, visual physiological, and visual psychology.)

用C charp编写的图像滤镜效果，包括源代码。(Image filter effects)

一个老外用matlab 编写的5点法图像相对定向程序，是目前最新的算法实现。(5 point to prepare for a foreigner relative orientation program)

广度优先搜索和深度优先搜索在网络拓扑图上的实现。广度优先搜索是从某一节点开始，搜索与其线连接的所有节点，按照广度方向像外扩展，直到不重复遍历所有节点；深度优先搜索是从某一节点开始，沿着其搜索到的第一个节点不断深入下去，当无法再深入的时候，回溯节点，然后再在回溯中的某一节点开始沿另一个方向深度搜索，直到不重复的遍历所有节点。 (Breadth-first search and depth-first search in the network topology is realized. Breadth-first search is started from a node, searching all the nodes connected to its line, in accordance with the breadth direction as extracapsular extension, until no repeat traverse all nodes depth-first search is started from a node along its search to the first nodes deepening it, when it can not go any further, backtracking node, and then back again in the beginning of a node depth search in the other direction until the non-repetition of the traverse all nodes.)

说明：  NISwGSP stitching . 新一代的图像拼接(image stitching new. more powerful than apap)

该算法可以清楚的将雷达目标检测出来，去除旁瓣遮挡效应，提高雷达目标检测的分辨率。(The algorithm can clear the radar target detection out, remove side lobe barrier effect, to improve the resolution of the radar target detection.)

说明：  均值、高斯、中值三种基本的滤波方法与噪声模型(Mean, Gaussian and median filtering methods and noise model)

GS算法，高斯光束整形成矩形光斑，或者根据自制的图片进行逆推相位(GS algorithm, Gaussian beam shaping)