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Real-time image haze removal using an aperture-division polarimetric camera
Applied Optics
|February 4, 2017
Summary
A new full-Stokes polarimetric camera with an automatic dehazing algorithm removes haze in real-time (25 fps). This enhances image quality and color restoration for outdoor applications.
Area of Science:
- Optics and Photonics
- Image Processing
Background:
- Polarimetric imaging effectively enhances images in turbid media.
- Real-time image processing for outdoor applications faces challenges due to atmospheric conditions like haze.
Purpose of the Study:
- To develop and demonstrate a real-time polarimetric dehazing system.
- To improve image quality and color restoration in turbid environments.
Main Methods:
- A novel full-Stokes polarimetric camera utilizing a division of aperture structure was designed.
- An automatic polarimetric dehazing algorithm was developed and implemented on Field Programmable Gate Array (FPGA) modules.
- The system achieved real-time image haze removal at an output rate of 25 frames per second.
Main Results:
- Significant improvements in image quality were achieved.
- Effective color restoration was demonstrated alongside haze removal.
- The system operated in real-time, processing images at 25 fps.
Conclusions:
- The developed full-Stokes polarimetric camera and integrated algorithm provide effective real-time image dehazing.
- This technique offers a promising solution for various outdoor imaging applications requiring clear visibility.
- Potential applications include real-time navigation, monitoring, and remote sensing.
