In avigation, navigation and other fields, electrical image stabilization technique (EIS) is applied widely. Recent research for electrical image stabilization is focused on motion vector estimation, which influences accuracy of image stabilization and its applicable scope directly, and pay less attention to the relation between image stabilization algorithm and structure character of image sensor. In fact, while image sensors are interline transfer CCD, 2D rigid motion model is not accurate enough for the image stabilization algorithm. There exist the displacement between the rows in a frame, for the different rows are exposed at different time. In order to compensate the interline displacement caused by the movement of the sensor both in horizontal and vertical direction, an image revision method based on correlation was put forward for the structure character of interline transfer CCD. During exposure of each frame, the motion of camera is along uniform direction and approximately even (otherwise it is beyond application scope of EIS), so it is feasible to revise image according to the displacement at the top and the bottom of image. Image sequence was acquired by telescope with function of optical image stabilization, and then was processed by electrical image stabilization algorithm. Experiment results showed that the image fidelity has been improved remarkably after image revision processing.

通过计算2幅不同离焦位置的图像频谱的径向分布，推算出目标物体的离焦深度，从而调整镜头位置完成自动对焦。算法适用于任意目标物体，尽管是基于频谱的，但是并不需要计算离焦图像的频谱，算法精度可达4%，鲁棒性良好。

CCD/CMOS图像传感器的饱和电流和背景噪音使得一次曝光很难超过60-80dB的动态范围。用LIP（Logarithmic image processing）模式将图像转换为灰色调函数，再将基于LIP模式的非线性多重微区域图像分解算法进行改进，可以适应不同亮度的单幅图像处理，提高了可分辨信息量和图像对比度，同时抑止了噪声。质量评价显示，该算法能将MOS 等级四的源图像提高到等级一。

与立方卷积法和神经网络法相比，线性插值方法具有运算速度快的优点，在数字相机的插值技术中经常采用。为了提高图像质量，提出一种双相关线性插值方法，这种方法根据绿色分量的相关性对红蓝两种分量进行插值，并根据红蓝分量的相关一注对绿色分量进行插值。实验表明，这种方法对于增强图像边缘效果较好。

本文对Ls照相机（Lens Shurrer Camera）的曝光特性进行了分析，并建立了动力学数学模型。运用CAD的手段t建立了对Ls程序曝光进行仿真设计的系统，并给出了运行实例。