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Haze effect removal from image via haze density estimation in optical model.
Optics Express
|November 13, 2013
Summary
This study introduces a new single-image dehazing method using pixel-based dark and bright channel priors to effectively remove atmospheric haze. The approach offers high-quality results with reduced computational cost compared to existing techniques.
Area of Science:
- Computer Vision
- Image Processing
Background:
- Optical images are often degraded by atmospheric conditions like haze, impacting outdoor scene clarity.
- Haze removal is crucial for improving visibility and the quality of visual data.
Purpose of the Study:
- To develop a novel single-image dehazing framework.
- To introduce and utilize pixel-based dark and bright channel priors for haze removal.
Main Methods:
- Proposed two novel image priors: pixel-based dark channel prior and pixel-based bright channel prior.
- Estimated atmospheric light using haze density analysis based on the priors and haze optical model.
- Estimated and refined the transmission map using a bilateral filter.
Main Results:
- Successfully recovered high-quality, haze-free images.
- Achieved lower computational complexity compared to patch-based dark channel prior methods.
Conclusions:
- The proposed pixel-based priors offer an effective and efficient solution for single-image dehazing.
- This framework enhances image quality in adverse atmospheric conditions.
