Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 211-214.

• Pattern Recognition & Image Processing • Previous Articles     Next Articles

Outdoor Lighting Estimation Algorithm Based on White Balance Correction

FANG Jing1, ZHANG Rui1,2, CUI Wei3, HAN Hui-jian1,2   

  1. School of Computer Science and Technology,Shandong University of Finance and Economics,Jinan 250014,China1;
    Shandong Province Research Center of Information Visualization and Computational Economy Engineering Technology,Jinan 250014,China2;
    Information Center of Ministry of Science and Technology,Beijing 100862,China3
  • Online:2019-06-14 Published:2019-07-02

Abstract: This paper proposed a fast algorithm for estimating outdoor illumination parameters without user interaction for outdoor scene images taken from the same sun position under different weather conditions.K-means algorithm is used to detect the shadow area to obtain the initial sky light parameters,and Grey-World algorithm is used to obtain the initial sun light parameters.Then the base image is solved,and the white balance correction is used to correct the base image,so as to iteratively optimize the illumination parameters more accurately.Experimental results show that the reconstructed image obtained by the proposed algorithm has less error than the reconstructed image obtained by the exi-sting algorithm.Compared with the existing algorithms,the proposed algorithm is faster,more convenient and more accurate.So it can be well applied to augmented reality.

Key words: Grey-world, Illumination estimation, White balance correction

CLC Number: 

  • TP391
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[1] ZHANG Rui, HAN Hui-jian, LIANG Xiu-xia, FANG Jing and ZHANG Cai-ming. Illumination Parameter Estimation of Outdoor Scene Using Chromaticity Consistency [J]. Computer Science, 2018, 45(3): 58-62.
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