Pseudo-polarimetric Method for Dense Haze Removal

Abstract

The scattering and absorption by the existing particles in turbid media is severely degrading the image quality and decreasing the visibility distance, especially in dense turbid media. In this paper, we investigate the polarization property of hazy images in dense turbid media, and we propose a simple pseudo-polarimetric dehazing method for dense haze removal, which only requires a single image captured by the detector. By our proposed method, two orthogonal polarization subimages are derived from the single original image, and then, based on these two subimages, one can obtain the recovered image by using the traditional polarimetric method. The real-word experimental results verify that, for the dense haze, our method based on a single image could have a comparable or better performance compared to the traditional polarimetric dehazing method with multiple images captured at different polarization states.

Underwater Polarization Imaging Recovery Based on Polarimetric Residual Dense Network

“…However, the light is severely scattered and absorbed due to the presence of turbid particles in the water, resulting in poor underwater imaging quality and lack of image details. To overcome this challenge, a lot of research has been carried out to improve the quality of underwater imaging [1], [2], [3], [4]. Among them, the underwater polarization dehazing technology [5], [6], [7], [8] has been recognized as an effective method to obtain a clear dehazing image, due to the backscattering light being partially polarized [9], [10].…”

Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain

“…Others are mainly based on a physical degradation model, which is time consuming because it is difficult to estimate appropriate radiance attenuation parameters in one hazy image. By contrast, polarimetric dehazing techniques use several polarized images to estimate the parameters of the scattering light, which have advantages of better image quality and higher efficiency [16,17].…”

VROHI: Visibility Recovery for Outdoor Hazy Image in Scattering Media

“…The main reason is that traditional methods only focus on increasing the contrast in degraded scenes rather than removing the haze theoretically. Another kind of solutions advocated in [3], [4], [5], [6] is able to generate a better result by introducing additional information. For example, Kopf et al [3] utilized the given geo-referenced digital terrain to remove the haze cover in images.…”

“…For example, Kopf et al [3] utilized the given geo-referenced digital terrain to remove the haze cover in images. Li et al [4] developed a simple pseudo-polarimetric dehazing method for dense haze removal using polarization property. According to different atmospheric properties, Narasimhan et al [5] used two given images to derive the scene depth and other parameters that are required to recover the image.…”