摘要
在多数公共场所,安装有监控设备,这些监控设备往往是24小时在不间断地工作。因为自身分辨率的问题,以及监控设备四周光线的问题,很容易使拍摄所得到的图像像素不高。在低照度环境之下,模糊图像复原技术的研究是一个热点问题。如果能够对低照度环境下的图像亮度和对比度进行提升,再辅以运动模糊图像的复原技术,通过复原算法的应用,可以使低照度环境下模糊图像得到复原。这个技术能够在多个行业和领域中得到应用,笔者针对低照度环境下模糊图像复原技术进行了相关研究。
In most public places,the installation of monitoring equipment,the monitoring equipment is often 24 hours in uninterrupted work.Because of the problem of its own resolution,as well as the problem of the light around the monitoring equipment,it is easy to make the image obtained by shooting is not high in pixels.In low illumination environment,the research of fuzzy image restoration technology is a hot topic.If the image brightness and contrast in low illumination environment can be improved,and the restoration technology of motion blur image can be supplemented,the restoration algorithm can be applied to restore the fuzzy image in low illumination environment.This technology can be applied in many industries and fields.The author studied the fuzzy image restoration technology in low illumination environment.
作者
宋美萍
Song Meiping(Northeast Petroleum University,Daqing Heilongjiang,163318)
出处
《电子测试》
2020年第12期44-45,共2页
Electronic Test
关键词
低照度环境
模糊图像复原
技术
Low illumination environment
Fuzzy image restoration
Technology
