Ziqi Shao, Haihong Jin, Lijin Qian, Zhiguo Fan. Method of Haze Image Reconstruction Based on PolarizationLayering and Analysis of Airlight[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221009
- Laser & Optoelectronics Progress
- Vol. 57, Issue 22, 221009 (2020)
Fig. 1. Diagram of haze image reconstruction method
Fig. 2. Gradient characteristics of nature image. (a) Nature scene image; (b) gradient histogram; (c) Laplace distribution
Fig. 3. Gradient characteristics of airlight under different dense haze
Fig. 4. Airlight gradient prior. (a) Gradient histogram of airlight; (b) model of airlight gradient prior
Fig. 5. Influence of ξ for image layering
Fig. 6. Layering results for polarized airlight images under 0° channel. (a) Polarized haze image; (b) object texture layer; (c) airlight layer; (d) estimated polarized airlight image by proposed method
Fig. 7. Estimated results for polarized airlight images. (a) Polarized haze image; (b) object texture layer; (c) airlight layer; (d) estimated polarized airlight image using the proposed method
Fig. 8. Results of haze image reconstruction. (a) Haze intensity image; (b) estimated airlight image by proposed method; c) reconstructed image using the proposed method
Fig. 9. Comparison results of gray histogram and gradient histogram. (a) Haze image and reconstructed image; b) gray histogram; (c) gradient histogram
Fig. 10. Reconstructed results for haze image with different dense haze. (a) Haze image; (b) dehazing results of Schechner method; (c) dehazing results of proposed method
Fig. 11. Degree of polarization(Dop) image and its gray histogram of haze image and airlight image. (a) Haze image; (b) Dop image of haze image; (c) gray histogram of haze image; (d) estimated airlight image by proposed method; (e) Dop image of airlight image; (f) gray histogram of airlight image
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Table 1. Objective evaluation results for different dehazing methods
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