大气中水分子及微小颗粒对光的散射和吸收, 使得在雾天条件下获取的图像严重降质, 本文提出一种结合自适应雾气估计的快速单幅图像去雾算法。首先, 该算法从大气散射模型出发, 通过分析景深与亮度分量之间存在的相关关系, 提出线性系数利用亮度分量来近似估计出景深, 并通过最小滤波对明亮区域进行修正, 得到粗略透射率; 其次, 观察到散射系数值与雾浓度呈正相关, 从而结合雾浓度模型与指数函数提出自适应散射系数概念, 估计出较准确的透射率; 最后, 根据大气散射模型复原出无雾图像。实验结果表明本文算法可以复原出清晰自然的无雾图像, 明显提高了图像可见度, 且具有较低的时间复杂度。

In this paper, we propose a video searching system that utilizes face recognition as searching indexing feature. As the applications of video cameras have great increase in recent years, face recognition makes a perfect fit for searching targeted individuals within the vast amount of video data. However, the performance of such searching depends on the quality of face images recorded in the video signals. Since the surveillance video cameras record videos without fixed postures for the object, face occlusion is very common in everyday video. The proposed system builds a model for oc-cluded faces using fuzzy principal component analysis (FPCA), and reconstructs the human faces with the available information. Experimental results show that the system has very high efficiency in processing the real life videos, and it is very robust to various kinds of face occlusions. Hence it can relieve people reviewers from the front of the moni-tors and greatly enhances the efficiency as well. The proposed system has been installed and applied in various envi-ronments and has already demonstrated its power by helping solving real cases.

根据某型航侦CCD 相机的工作原理，选择合适的笛卡尔坐标系，并用坐标变换描述两幅图像在不同时刻和扫描倾角下的关系。利用成像共线原理，推导出扰动下的图像仿射变换模型。仿真分析表明，图像在航向和航侧上的重叠率波动幅度分别由俯仰角和滚动角扰动量决定，通过补偿两个姿态的扰动量可以将图像重叠率波动范围缩小在一定的范围内，满足图像拼接的要求。最终的飞行测试效果也验证了这一点。这不仅可以为同类相机的重叠率及其补偿装置设计提供理论依据，也可以简化后续图像拼接处理的配准过程。

根据某型推扫式航侦相机的工作原理,利用共线方程,以坐标系旋转代替姿态变化,得出像移与姿态扰动和成像倾角的解析表达式。并在此基础上结合工作参数对成像倾角和姿态扰动共同作用下的像移进行仿真,分析其结果知当成像倾角在0.13 rad 范围内变化时,像移与成像倾角无关,与姿态扰动量成线性关系;当成像倾角超过这个范围时,像移与成像倾角之间存在非线性,但整体趋势仍然是随着各扰动量的增加而增加。这为同类相机及像移补偿装置的设计提供理论依据。