中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fast snow removal algorithm based on the maximum value of the degree of polarization and angle of polarization

文献类型:期刊论文

作者Y.N.Lu; M.F.Xu; S.Q.Jia; W.Huang
刊名Physica Scripta
出版日期2019
卷号94期号:4页码:7
关键词image enhancement,polarimetric imaging,image,reconstruction-restoration,vision,Physics
ISSN号0031-8949
DOI10.1088/1402-4896/aafa50
英文摘要Images of outdoor scenes usually have low contrast and degraded visibility in snowy weather. Snowflakes, deemed as particles in the atmosphere, cause light scattering and absorption, blurring the images. Polarization-based scenarios are proven effective in restoring the images. However, current methods either inaccurately estimate atmospheric airlight at infinity or have low efficiency. To enhance the accuracy and efficiency for increasing visibility and correcting the color shift, we propose a simple method based on polarimetric images. This method uses the maximum value of the degree of polarization and angle of polarization by global analysis of the Stokes vector to accurately estimate atmospheric airlight at infinity and the transmission map. Experimental results confirm that this method can significantly improve the image quality without complex model implementation or any other processing and has high computational efficiency. Moreover, the comparison results demonstrate that this method can recover more details and depth information.
语种英语
源URL[http://ir.ciomp.ac.cn/handle/181722/63156]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Y.N.Lu,M.F.Xu,S.Q.Jia,et al. Fast snow removal algorithm based on the maximum value of the degree of polarization and angle of polarization[J]. Physica Scripta,2019,94(4):7.
APA Y.N.Lu,M.F.Xu,S.Q.Jia,&W.Huang.(2019).Fast snow removal algorithm based on the maximum value of the degree of polarization and angle of polarization.Physica Scripta,94(4),7.
MLA Y.N.Lu,et al."Fast snow removal algorithm based on the maximum value of the degree of polarization and angle of polarization".Physica Scripta 94.4(2019):7.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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