Abstract

Most of the state-of-the-art defogging models presented in the literature assume that the attenuation coefficient of all spectral channels is constant, which inevitably leads to spectral distortion and information bias. To address this issue, this paper proposes a defogging method that takes into account the difference between the extinction coefficients of multispectral channels of light traveling through fog. Then the spatially distributed transmission map of each spectral channel is reconstructed to restore the fog-degraded images. The experimental results of various realistic complex scenes show that the proposed method has more outstanding advantages in restoring lost detail, compensating for degraded spectral information, and recognizing more targets hidden in uniform ground fog than state-of-the-art technologies. In addition, this work provides a method to characterize the intrinsic property of fog expressed as multispectral relative extinction coefficients, which act as a fundament for further reconstruction of multispectral information.

© 2024 Optica Publishing Group

Dual-polarization defogging method based on frequency division and blind separation of polarization information

Feng Huang, Chaozhen Ke, Xianyu Wu, and Yu Liu
Opt. Express 32(5) 7594-7610 (2024)

Active imaging through dense fog by utilizing the joint polarization defogging and denoising optimization based on range-gated detection

Feng Huang, Shaoping Qiu, Hao Liu, Yu Liu, and Pengfei Wang
Opt. Express 31(16) 25527-25544 (2023)

Classification guided thick fog removal network for drone imaging: ClassifyCycle

Yan Liu, Wenting Qi, Guan Huang, Fubao Zhu, and Yanqiu Xiao
Opt. Express 31(24) 39323-39340 (2023)

Image dehazing algorithm based on optimized dark channel and haze-line priors of adaptive sky segmentation

Guangmang Cui, Qiong Ma, Jufeng Zhao, Shunjie Yang, and Ziyi Chen
J. Opt. Soc. Am. A 40(6) 1165-1182 (2023)

Image dehazing combining polarization properties and deep learning

Ke Suo, Yaowen Lv, Jiachao Yin, Yang Yang, and Xi Huang
J. Opt. Soc. Am. A 41(2) 311-322 (2024)