Image Dehazing With Polarization Boundary Constraints of Transmission

被引:0
作者
Ma, Tongwei [1 ,2 ]
Zhou, Jianping [1 ]
Zhang, Lilian [2 ]
Fan, Chen [2 ]
Sun, Bo [3 ]
Xue, Ruilei [1 ]
机构
[1] Xinjiang Univ, Sch Mech Engn, Urumqi 830047, Peoples R China
[2] Natl Univ Def Technol, Coll Intelligence Sci & Technol, Changsha 410073, Peoples R China
[3] Chinese Acad Sci, Quanzhou Inst Equipment Mfg, Haixi Inst, Quanzhou 362000, Peoples R China
基金
中国国家自然科学基金;
关键词
Boundary constraints; image dehazing; image restoration; polarimetric dehazing; VISIBILITY; ALGORITHM;
D O I
10.1109/JSEN.2024.3372496
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present an image dehazing approach using polarization boundary constraints of transmission (Pol-BCT) in this work. First starting from the polarization performance of the sensor, we derive the calculation methods of polarized airlight and infinite airlight by introducing Muller matrix; this method dramatically reduces noise in image dehazing. Then we propose using degree of polarization (DoP) of airlight to construct polarization transmission and reconstruct the atmospheric scattering model (ASM); the constructed ASM is more suitable for dehazing in most scenes. We propose boundary constraint conditions based on polarization to refine this transmission, which can retrieve the main profile information in various scenes. To evaluate the proposed Pol-BCT, we create a polarimetric hazy image datasets. Experimental findings show that the suggested approach outperforms previous dehazing algorithms in both qualitative and quantitative evaluations.
引用
收藏
页码:12971 / 12984
页数:14
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