摘要
为了增强低照度成像系统对运动目标的应用能力,在典型的低照度图像多帧处理方法基础上,结合运动速度估计进行改进,提出了一种自适应图像增强方法。该方法能有效减小低照度图像闪烁噪声,提高图像对比度,并且适用于运动目标成像处理。在以现场可编程门阵列(FPGA)为核心器件搭建的硬件平台上进行验证。结果显示:经过该方法处理后,视频信噪比由2.1 d B提高到11.5 d B;当目标加速运动时,没有考虑目标运动的方法处理过的图像信噪比显著下降,而本文方法处理的图像信噪比下降幅度较小。
In order to improve the capability of low-light-level imaging system for image processing of moving object, a self-adaptive image enhancement ＇algorithm was proposed. This method is based on the combination of multi-frame image processing and target speed estimation, which can decrease the image flicker noise effectively, improve the image contrast, and is applicable for moving target image processing. Test was made to the method on a platform with a Field Programming Gate Array（FPGA） as the core device. The result shows that： With the help of this processing method, the Signal to Noise Ratio （SNR） of images improves a lot from 2. 1 dB to 11.5 dB when target is still; and the SNR will not decrease as dramatically as general methods do when the target is moving.
出处
《电光与控制》
北大核心
2016年第8期57-60,共4页
Electronics Optics & Control
基金
国家"八六三"高技术研究发展计划资助项目(863-2-5-1-13B)
