1. The image input type:
a. Real-time airborne optical sensors acquired by fog \ haze noisy video data;
b. Daily surveillance camera video data collected by the fog \ haze serious interference;
2. The functional Features :
Data by fog \ haze pollution to be processed based on the our “Layered Removal Image Processing Architecture/Algorithm” where achieving real-time processing of video data with great enhance visibility in fog \ haze weather.
1. The image input type:
a. Real-time airborne optical sensors acquired by fog \ haze noisy video data;
b. Daily surveillance camera video data collected by the fog \ haze serious interference;
2. The functional Features :
Data by fog \ haze pollution to be processed based on the our “Layered Removal Image Processing Architecture/Algorithm” where achieving real-time processing of video data with great enhance visibility in fog \ haze weather.
a. Real-time video surveillance camera streams fog \ haze removal visibility enhancement example
b. Optical remote sensing image fog \ haze removal visibility enhancement example
(Note: For detail technical specification, please write in to general@esn-technology.com)