南极无人观测站室内光照色温对监控图像质量的影响研究

Study on the Influence of Indoor Light Color Temperature on Monitoring Image Quality in Antarctic Unmanned Observatory

南极无人观测站可突破人类生理限制、持续高效工作,而高品质监控画面可提升观测站无人状态下的运维效果,其与监控摄像机所处的室内光环境密切相关。对智能照明调光技术的过往研究多集中在环境照度与图像质量的关系上,且多采用主观评价手段、缺乏对环境色温与图像质量关系的客观定量研究。本研究将采用机器视觉图像质量评价体系(MVB)作为评价标准,选取华为实验室推荐的清晰度、色差、饱和度等关键指标,在模拟极昼极夜状态下客观评价无人观测站3 000~6 000 K室内光照色温下的监控图像质量,选取图像质量最高时的色温段(3 500~4 500 K)作为其智能照明系统的调光预设指标,为类似智能照明系统的调试及程序预设提供参考。

Unmanned automatic observatory in Antarctica can surpass human physiological limitations and maintain continuous and efficient operations.High-quality monitoring images can improve the operation and maintenance effect of the observation station in the unmanned state,which is closely related to the indoor light environment where the monitoring cameras are located.Previous studies about intelligent lighting dimming technology mainly focused on the relationship between environmental illumination and image quality,and mostly adopted subjective evaluation methods,lacking objective quantitative research on the relationship between environmental color temperature and image quality.In this study,Machine vision benchmark(MVB)will be used to select key indicators such as clarity,color difference and saturation,which is recommended by Huawei laboratory,to objectively evaluate the monitoring image quality under different indoor lighting color temperatures from 3000 to 6000 K in the unmanned automatic observatory under the simulated state of polar day and polar night,and the color temperature segment with the highest image quality(3500~4500 K)will be selected as the dimming preset index of its intelligent lighting system.It provides reference for debugging and program presetting of similar intelligent lighting system.