夜景照明亮度比例视觉适宜性评价仿真研究

夜景照明设备的整体亮度跨度较小,且存在很多限高区域,导致环境中整体亮度较差,为了提高夜景照明亮度与人眼视觉的适宜性,提出了夜景照明亮度比例视觉适宜性评价方法。通过夜景照明观测建模数据的标准化处理,采集夜景照明的亮度信息,利用二维数据矩阵分解所得信息,确定夜景照明的环境因素,利用亮度监测模型,计算亮度数据的统计量,完成夜景照明亮度的监测。根据视觉感知的亮度与照明设备亮度之间的关系,计算出光照强度对比度,将驱动电源安装到夜景照明设备中,调节夜景照明亮度比例。将人眼视觉范围划分成多个区域,计算出视觉适宜度判定准则,依据人眼视觉可以承受的亮度与照明亮度的映射关系,定义夜景照明亮度的空间函数,通过夜景照明亮度通道适宜度叠加,实现夜景照明亮度比例视觉适宜性评价。实验结果表明,上述方法适用于夜景照明亮度比例视觉适宜性评价,可以提高评价结果准确性。

自由立体显示系统中的图像串扰度检测

针对传统图像串扰度的测量需精密光学仪器,数据处理复杂且对环境光线要求苛刻的问题,提出了一种人眼观测结合亮度比例尺的双目图像串扰度检测方法。该方法首先生成用于串扰度检测的测试图,然后根据可视亮度相等原则选取最佳观测位置,最后通过对串扰区域与亮度比例尺间进行选择性匹配的方法得出串扰度的估计值。实验结果表明:本文方法的测试结果与HIS颜色模型的电脑测试结果完全相同,可以真实描述光栅式自由立体显示系统的串扰程度。同时,本方法的检测结果不受实验光线的影响,对检测环境具有很强的鲁棒性。

Scaling and Pixel Crosstalk Considerations for CMOS Image Sensor

With the scaling development of the minimum lithographic size,the scaling trend of CMOS imager pixel size and fill factor has been computed according to the Moore rule.When the CMOS minimum lithographic feature scales down to 0.35 μm,the CCD image pixel size is not so easy to be reduced and but the CMOS image pixel size benefits from the scaling minimum lithographic feature. However, when the CMOS technology is downscaled to or under 0.35 μm,the fabrication of CMOS image sensors will be limited by the standard CMOS process in both ways of shallow trench isolation and source/drain junction,which results in pixel crosstalk.The impact of the crosstalk on the active pixel CMOS image sensor is analyzed based on the technology scaling.Some suppressed crosstalk methods have been reviewed.The best way is that combining the advantages of CMOS and SOI technology to fabricate the image sensors will reduce the pixel crosstalk.