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Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain
Jian Liang1,2, Haijuan Ju1, Liyong Ren3
1State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China.
Sensors (Basel, Switzerland)
|April 5, 2020
Summary
This study introduces a generalized polarimetric dehazing method using frequency domain filtering. The new approach enhances image quality in various conditions and is over 70% faster than previous methods.
Area of Science:
- Computer Vision
- Image Processing
- Optics
Background:
- Polarimetric dehazing improves hazy image quality.
- Existing methods lack robustness across diverse imaging conditions.
Purpose of the Study:
- To develop a generalized polarimetric dehazing method.
- To enhance robustness and computational efficiency.
Main Methods:
- Utilized low-pass filtering in the frequency domain.
- Developed an automatic estimation of the polarized state of scattering light.
- Eliminated the need for bias parameter adjustments.
Main Results:
- Demonstrated effectiveness and robustness in various hazy weather and underwater environments.
- Achieved over 70% improvement in computational efficiency compared to prior work.
Conclusions:
- The proposed generalized polarimetric dehazing method is effective and robust.
- The method offers significant computational advantages.
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