Abstract
Polarization technology has been widely used in imaging through a scattering medium. However, the existing polarization dehazing methods are unstable because they require manual selections of polarization correction parameters. In addition, most of them only focus on the spatial domain without utilizing the frequency domain features, so their dehazing performances are insufficient. In this paper, we propose a polarization dehazing method based on separating and iterative optimizing airlight from the frequency domain. By separating the low-frequency sub-bands of polarization images and refining them as the airlight at three states, we calculated the Stokes parameters of airlight and obtained the preliminary dehazed image. We also propose an iterative optimization approach between the high-frequency sub-band of the dehazed image and airlight to effectively improve the dehazing performance. As a by-product, we introduce our real-world polarization datasets collected in different concentrations of haze. Both the qualitative and quantitative experiments show that our method is effective and robust in different concentrations of haze.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Anhui Province
The Key Research Plan of Anhui Province Strengthening Police with Science and Technology
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献