Low-pass filtering based polarimetric dehazing method for dense haze removal

Area of Science:

• Optics and Photonics
• Image Processing
• Computer Vision

Background:

• Polarimetric dehazing methods enhance images in scattering media but are sensitive to noise, affecting stability.
• Existing solutions to improve stability often increase algorithm complexity and processing time.

Purpose of the Study:

• To develop a robust and efficient polarimetric dehazing method.
• To overcome the noise sensitivity and enhance the stability of polarimetric dehazing techniques.
• To improve visibility in hazy conditions, particularly for dense haze removal.

Main Methods:

• A novel polarimetric dehazing method incorporating a low-pass filter to suppress noise in hazy images.
• The proposed method aims for automatic operation and enhanced performance in dense haze scenarios.

Main Results:

• Experimental results demonstrate the effectiveness of the proposed method in enhancing image visibility.
• The method shows significant improvements in processing dense haze.
• The approach is fully automatic and highly effective.

Conclusions:

• The novel polarimetric dehazing method effectively addresses noise sensitivity and improves stability.
• This technique offers a promising solution for clear image acquisition in challenging environments.
• Potential applications include optical surveillance, underwater imaging, and bio-tissue imaging.