Atmospheric Correction for Polarimetric Images Based on Spectral Segregation | |
Xia, Pu2; Chen, Xiaolai2; Tang, Zhaohuan1 | |
2022-03-04 | |
会议日期 | 2022-03-04 |
会议地点 | Virtual, Online, China |
关键词 | Image processing Haze removal Color image restoration Polarimetric imaging Spectral analysis |
DOI | 10.1145/3529466.3529479 |
页码 | 90-94 |
英文摘要 | In hazy weather, light's penetration power is wavelength related, the longer wavelength, the less attenuation. Although traditional polarimetric image-dehazing algorithms have demonstrated their ability in enhancing grayscale images, but their ignorance of the spectral difference will lead to serious color distortion when utilizing these algorithms for color images. To conquer that problem, we propose a new method base on spectral segregation. 15 spectral bands are selected and dehazed with the polarimetric dehazing algorithm separately to obtain the best dehazing effects. The blue, green and red channels of the dehazed image, which are acquired through image fusion of the spectral bands, are adjusted with different coefficients to correct the color distortion. 10 infrared bands are added to the short-wavelength channels to enhance the details of the objects especially the trees. Experiment and data analysis demonstrate the effectiveness of our method in increasing visibility and preserving color information. The amount of color distortion can be reduced by 89.6% compared with the polarimetric image-dehazing algorithm without spectral segregation. © 2022 ACM. |
产权排序 | 1 |
会议录 | ICIAI 2022 - 6th International Conference on Innovation in Artificial Intelligence |
会议录出版者 | Association for Computing Machinery |
语种 | 英语 |
ISBN号 | 9781450395502 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/96020] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
通讯作者 | Chen, Xiaolai |
作者单位 | 1.China National Heavy Machinery Research Institute Co., Ltd., Xi'an; 710018, China 2.Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; |
推荐引用方式 GB/T 7714 | Xia, Pu,Chen, Xiaolai,Tang, Zhaohuan. Atmospheric Correction for Polarimetric Images Based on Spectral Segregation[C]. 见:. Virtual, Online, China. 2022-03-04. |
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