Article
Optics
Jian Liang, Liyong Ren, Rongguang Liang
Summary: The polarimetric dehazing method shows promise in enhancing image quality in scattering media, but is sensitive to noise, requiring digital image processing algorithms for stability. A novel method utilizing a low pass filter was proposed in this paper to effectively handle dense haze.
Article
Optics
Yue Wang, Yongkai Yin, Xiulun Yang, Qian Sun, Xiangfeng Meng, Guoliang Shentu, Baoqing Sun
Summary: Polarimetric image dehazing is a widely investigated method that improves the quality of dehazed images by considering additional information, especially for transparent objects.
OPTICS AND LASER TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Shuai Liu, Ying Li, Hang Li, Bin Wang, Yuanhao Wu, Zhenduo Zhang
Summary: Estimating atmospheric light based on polarization contrast can enhance the accuracy of dehazing algorithms and improve the overall quality of dehazed images.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Subhash Chand Agrawal, Anand Singh Jalal
Summary: This paper introduces a novel single image dehazing technique to restore hazy images without considering the physical model of haze formation. The proposed method significantly enhances visibility by treating faraway haze and nearby haze separately.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2021)
Article
Environmental Sciences
Minghui Tao, Jinxi Chen, Xiaoguang Xu, Wenjing Man, Lina Xu, Lunche Wang, Yi Wang, Jun Wang, Meng Fan, Muhammad Imran Shahzad, Liangfu Chen
Summary: In this study, a robust and flexible aerosol retrieval algorithm based on physics-informed deep learning (PDL) method is presented for multi-angle polarimetric (MAP) satellite measurements. The algorithm models the whole MAP observations with each retrieved aerosol parameter separately using pre-training of radiative transfer simulations. The algorithm shows high correlations and consistency with AERONET products, and performs well compared to optimized retrieval methods.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Engineering, Electrical & Electronic
Hyungseok Oh, Hyena Kim, Yejin Kim, Changhoon Yim
Summary: The proposed unified function simplifies the dehazing process by learning only one function, giving better results in both subjective and objective evaluations compared to previous methods.
ELECTRONICS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Xian-Shi Zhang, Yong-Bo Yu, Kai-Fu Yang, Yong-Jie Li
Summary: Bad weather conditions, such as fog and dust, significantly degrade outdoor images and limit efficient information extraction by computer vision applications. Existing methods for enhancing hazy images often neglect the wavelength dependence of scattering, making it difficult to handle colorized haze. This work proposes a fish retina-inspired method that imitates specific retinal mechanisms to process hazy scenes and shows competitive performance compared to state-of-the-art methods.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Yu Lei, Bing Lei, Yubo Cai, Chao Gao, Fujie Wang
Summary: The polarimetric dehazing method proposed in this study utilizes image fusion technique and an adaptive adjustment algorithm, capturing images of four different polarization directions with a splitting focus plane linear polarization camera, separating haze from hazy images through low-pass filtering, and enhancing the quality of dehazed images with the adaptive adjustment algorithm. Outdoor experiments have shown significant restoration of target information, with improved visual effect and quantitative evaluation.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Subhash Chand Agrawal, Anand Singh Jalal
Summary: This paper proposes a single image dehazing method based on superpixels and nonlinear transformation. The method transforms the minimum filtering on superpixels of a hazy image into the minimum filtering on superpixels of a haze-free image using nonlinear transformation, preventing over enhancement in long-range regions and reducing halo artifacts in the dehazed image. Experimental results demonstrate that the proposed method has tremendous performance in handling different types of hazy images.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Geochemistry & Geophysics
Zheng Liang, Xueyan Ding, Zetian Mi, Yafei Wang, Xianping Fu
Summary: This letter proposes an effective polarization-based image dehazing method, which optimizes the angle of polarization (AoP) and uses regularization constraints to achieve image clarity. The proposed method can effectively and automatically estimate all key parameters based on the revised AoP information, without considering the existence of no-object regions.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Aerospace
Lan Lan, Massimo Rosamilia, Augusto Aubry, Antonio De Maio, Guisheng Liao, Jingwei Xu
Summary: This article addresses the problem of adaptive radar detection with a polarimetric frequency diverse array multiple-input multiple-output radar. At the design stage, the target detection problem is formulated as a composite hypothesis test with various unknown parameters. Suboptimal design strategies based on the generalized likelihood ratio criterion are employed to solve the formulated detection problem. The performance of the proposed architectures is evaluated through Monte Carlo simulations and compared with benchmarks in different disturbance scenarios.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Yanfa Xiang, Guochen Wang, Jie Gao, Xin Wang, Yubin Chen, Khian-Hooi Chew, Rui-Pin Chen
Summary: The scattering and absorption of suspended particles in water severely degrade underwater imaging quality. This study proposes an improved dehazing method that optimizes the estimation accuracy of polarization parameters in the traditional underwater polarization imaging model. Experimental results demonstrate that the proposed method preserves image details better and achieves faster speed than the traditional underwater dehazing method, especially in high-turbidity water environments. The average speed for restoring a 1024 x 768 pixel image is about 6.2 ms.
JOURNAL OF ELECTRONIC IMAGING
(2023)
Article
Optics
Tuochi Jiang, Desheng Wen, Zongxi Song, Wei Gao, Gang Liu
Summary: This paper proposes a novel mixed noise suppression method for DoFP polarimetric images, which combines the techniques of SRNR, LSM, and NLR, and takes into consideration the residual noise of Stokes parameters, achieving the acquisition of high-quality polarization data.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Yanfa Xiang, Xu Yang, Qiming Ren, Guochen Wang, Jie Gao, Khian-Hooi Chew, Rui-Pin Chen
Summary: This paper proposes a method for underwater image restoration using deep learning technology. By training and testing different polarization component images and considering the physical model of polarization dehazing imaging, it achieves high-quality restoration of hazy images.
IEEE PHOTONICS JOURNAL
(2022)
Article
Robotics
Joaquin Rodriguez, Lew Lew-Yan-Voon, Renato Martins, Olivier Morel
Summary: Polarimetric imaging is widely used in robotic vision, but calibrating cameras for this technology often requires complex optical systems and time-consuming experiments. This letter proposes a new method that simplifies the calibration process by allowing users to calibrate the camera using a simple light source, without prior knowledge of the polarization state, and with a limited number of acquisitions.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Optics
Haijuan Ju, Liyong Ren, Jian Liang, Enshi Qu, Zhaofeng Bai
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
(2019)
Article
Optics
Jian Liang, Xiaobo Tian, Haijuan Ju, Daodang Wang, Heng Wu, Liyong Ren, Rongguang Liang
Article
Optics
Shuai Sun, Yiping Xu, Liyong Ren, Jiayu Xu, Tianxu Jia, Lei Zhang, Jianting Xiao, Bingchuan Wang, Wenxing Yang, Shubo Cheng, Fang Chen, Chengju Ma, Feng Song
Article
Optics
Bingchuan Wang, Liyong Ren, Xudong Kong, Yiping Xu, Kaili Ren, Wenxing Yang, Shubo Cheng, Fang Chen, Feng Song
Article
Chemistry, Analytical
Jian Liang, Haijuan Ju, Liyong Ren, Liming Yang, Rongguang Liang
Article
Optics
Kaili Ren, Liyong Ren, Jian Liang, Li Yang, Jie Xu, Dongdong Han, Yongkai Wang, Jihong Liu, Jun Dong, Hanyu He, Wenfei Zhang
Summary: A novel method for controlling the parameters of a chiral fiber grating structure has been proposed, demonstrating high-quality OAM beams generation with high conversion efficiency. Theoretical analysis and experimental results show good performance of the dual-OAM beam converter in twisted single-mode fiber process.
Article
Optics
Jian Liang, Liyong Ren, Rongguang Liang
Summary: The polarimetric dehazing method shows promise in enhancing image quality in scattering media, but is sensitive to noise, requiring digital image processing algorithms for stability. A novel method utilizing a low pass filter was proposed in this paper to effectively handle dense haze.
Article
Optics
Jian Liang, Yuanyuan Sun, Liyong Ren, Rongguang Liang
Summary: This article presents a method for reconstructing high-resolution polarized SWIR images using a deep learning approach, with the aid of color images. The method improves spatial resolution and quality of SWIR images.
Article
Optics
Kaili Ren, Kexin Yao, Dongdong Han, Jiayue Hu, Li Yang, Yipeng Zheng, Lei Liang, Jun Dong, Wenfei Zhang, Liyong Ren
Summary: Based on the dual-resonance principle, this paper proposes a scheme of chiral long-period fiber gratings to realize ultra-broadband flat-top circular polarizers. The scheme has the advantages of large coupling bandwidth and optimized adjustability, making it significant for light-field regulation.
Article
Optics
Yixuan Zhang, Liyong Ren, Jian Liang, Shaoben Guo
Summary: Among optical detection methods, the polarization detection method of light provides valuable information for material identification. This paper proposes a complex refractive index inversion method using circular polarization detection to accurately distinguish different types of metallic materials.
OPTICS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Yifu Zhou, Hanyue Wei, Liyong Ren, Jian Liang
Summary: In this paper, a novel phase calibration method with high efficiency and accuracy is proposed for scaling LC-SLM based on a phase retrieval algorithm. The voltage-phase characteristic curve of LC-SLM is measured using a 1-D phase retrieval algorithm and the phase is obtained using the gradient descent algorithm. Simulations and experiments show that this method is stable, anti-noise, and can eliminate the influence caused by crosstalk between pixels on the calibration. Compared with the traditional diffraction-based method, our method improves the calibration error up to 30% under the same experimental conditions.
IEEE PHOTONICS JOURNAL
(2023)
Article
Optics
Rui Yang, Feiya Ma, Wentao Dou, Fang Wang, Tongfang Meng, Liyong Ren
Summary: In this paper, an effective calibration method based on a Wollaston prism is proposed to tailor the voltage-phase characteristic curves of LCVR. Experimental results show that similar calibration results are always obtained regardless of the angle of polarization of the incident light and the angle of LCVR placement. The root-mean-square error of the voltage-phase calibration is no more than 0.132 radian, and the robustness and efficiency of this LCVR calibration method are also demonstrated and verified.
OPTICS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Zhang Wenfei, Ren Liyong, Xing Fei, Zhang Fang, Ge Xiaolu, Wang Guomei, Fu Shenggui
LASER & OPTOELECTRONICS PROGRESS
(2020)
Article
Optics
Kaili Ren, Minhui Cheng, Liyong Ren, Yunhui Jiang, Dongdong Han, Yongkai Wang, Jun Dong, Jihong Liu, Li Yang, Zhanqiang Xi
Proceedings Paper
Optics
Hui Chen, Yi Geng, Chengfang Xu, Bin Zhuang, Liyong Ren
ELEVENTH INTERNATIONAL CONFERENCE ON INFORMATION OPTICS AND PHOTONICS (CIOP 2019)
(2019)
