Dehazing Algorithm Based on RGB Color Space Ellipsoid Model

被引:0
|
作者
Jiao Zihang [1 ]
Fan Zhiguo [1 ]
Qian Lijin [1 ]
Zhuang Zijie [1 ]
机构
[1] Hefei Univ Technol, Sch Comp Sci & Informat Engn, Hefei 230601, Anhui, Peoples R China
关键词
imaging systems; image dehazing; RGB color space; ellipsoid model; transmission function; IMAGE;
D O I
10.3788/LOP202259.0811007
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
The images captured in a hazy environment are always prone to blurring. To restore the hazy images, a transmission function estimation algorithm based on the RGB color space ellipsoid model is proposed. First, the gray values of pixels in a neighborhood of a hazy image were mapped to RGB color space, and the aggregation state of pixel gray values were fitted by an ellipsoid model. Furthermore, all vectors in the ellipsoid were projected onto the atmospheric light vector to estimate the transmission function for each pixel. Finally, the transmission function is optimized and combined with atmospheric light vector estimation to restore the hazy images. Experimental results indicate that the proposed transmission function estimation algorithm, which is based on the RGB color space ellipsoid model, can effectively restore the hazy images.
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页数:8
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