Atmospheric Correction for Polarimetric Images Based on Spectral Segregation | |
Xia, Pu1; Chen, Xiaolai1; Tang, Zhaohuan2 | |
2022-03-04 | |
会议名称 | 6th International Conference on Innovation in Artificial Intelligence, ICIAI 2022 |
会议录名称 | ICIAI 2022 - 6th International Conference on Innovation in Artificial Intelligence |
页码 | 90-94 |
会议日期 | 2022-03-04 |
会议地点 | Virtual, Online, China |
出版者 | Association for Computing Machinery |
产权排序 | 1 |
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. |
关键词 | Image processing Haze removal Color image restoration Polarimetric imaging Spectral analysis |
作者部门 | 光谱成像技术研究室 |
DOI | 10.1145/3529466.3529479 |
收录类别 | EI |
ISBN号 | 9781450395502 |
语种 | 英语 |
EI入藏号 | 20222412234689 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/96020 |
专题 | 光谱成像技术研究室 |
通讯作者 | Chen, Xiaolai |
作者单位 | 1.Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; 2.China National Heavy Machinery Research Institute Co., Ltd., Xi'an; 710018, 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]:Association for Computing Machinery,2022:90-94. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Atmospheric Correcti(5906KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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