저조도 안개 환경에서 열화상 카메라를 이용한 이미지 가시성 향상에 관한 연구

Abstract

This research aimed to improve visibility using Long Wave Infrared by recognizing the limitations of improving the visible, near-infrared images’s visibility through the fog improvement algorithm. First of all, we prepared an imaging system that could acquire visible, near-infrared, long wave infrared images for experiments. also, we demonstrated how improvements in the visible and infrared images through De-hazed algorithm. A numerical analysis was conducted using the CNR(Contrast to Noise Ratio) to analyze the image of before & after. and we demonstrated how differences with long wave infrared under the low light level and aerosol environments. this research is meaningful in terms of providing to obtain and analyze accurate information in a specific environment that does not improve visible and nearinfrared images’s visibility.

This research aimed to improve visibility using Long Wave Infrared by recognizing the limitations of improving the visible, near-infrared images’s visibility through the fog improvement algorithm. First of all, we prepared an imaging system that could acquire visible, near-infrared, long wave infrared images for experiments. also, we demonstrated how improvements in the visible and infrared images through De-hazed algorithm. A numerical analysis was conducted using the CNR(Contrast to Noise Ratio) to analyze the image of before & after. and we demonstrated how differences with long wave infrared under the low light level and aerosol environments. this research is meaningful in terms of providing to obtain and analyze accurate information in a specific environment that does not improve visible and nearinfrared images’s visibility.