Harnessing Optical Imaging Limit through Atmospheric Scattering Media
This work addresses the challenge of enhancing optical imaging capabilities in scattering media like fog, which is important for applications in surveillance or environmental monitoring, but it appears incremental as it builds on existing models and techniques.
The authors tackled the problem of imaging faint objects through atmospheric scattering by developing a comprehensive model to assess the ultimate perceptible limit of angular resolution, and they extended the image range by 1.2 times using multi-frame averaging for noise reduction.
Recording and identifying faint objects through atmospheric scattering media by an optical system are fundamentally interesting and technologically important. In this work, we introduce a comprehensive model that incorporates contributions from target characteristics, atmospheric effects, imaging system, digital processing, and visual perception to assess the ultimate perceptible limit of geometrical imaging, specifically the angular resolution at the boundary of visible distance. The model allows to reevaluate the effectiveness of conventional imaging recording, processing, and perception and to analyze the limiting factors that constrain image recognition capabilities in atmospheric media. The simulations were compared with the experimental results measured in a fog chamber and outdoor settings. The results reveal general good agreement between analysis and experimental, pointing out the way to harnessing the physical limit for optical imaging in scattering media. An immediate application of the study is the extension of the image range by an amount of 1.2 times with noise reduction via multi-frame averaging, hence greatly enhancing the capability of optical imaging in the atmosphere.