ArticleSensors (Basel, Switzerland)2020
Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Atmospheric Light Estimation Using Polarization Degree Gradient for Image Dehazing.Sensors (Basel, Switzerland) · 2024Article
- Visibility Restoration: A Systematic Review and Meta-Analysis.Sensors (Basel, Switzerland) · 2021Review
- Gated Dehazing Network via Least Square Adversarial Learning.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Polarimetric dehazing methods can significantly enhance the quality of hazy images. However, current methods are not robust enough under different imaging conditions. In this paper, we propose a generalized polarimetric dehazing method based on low-pass filtering in the frequency domain. This method can accurately estimate the polarized state of the scattering light automatically without adjusting bias parameters. Experimental results show the effectiveness and robustness of our proposed method in different hazy weather and scattering underwater environments with different densities. Furthermore, computational efficiency is enhanced more than 70% compared to the polarimetric dehazing method we proposed previously.
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Registered trials
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