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REFERENCES

1 
Mahmoud Afifi and Michael S Brown. What else can fool deep learning? addressing color constancy errors on deep neural network performance. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 243-252, 2019.DOI
2 
Buchsbaum, Gershon. "A spatial processor model for object colour perception." Journal of the Franklin institute 310.1 (1980): 1-26.DOI
3 
Land, E. H. (1977). The retinex theory of color vision. Scientific american, 237(6), 108-129.DOI
4 
Finlayson, G. D., & Trezzi, E. (2004, January). Shades of gray and colour constancy. In Color and Imaging Conference (Vol. 2004, No. 1, pp. 37-41). Society for Imaging Science and Technology.URL
5 
Van De Weijer, J., Gevers, T., & Gijsenij, A. (2007). Edge-based color constancy. IEEE Transactions on image processing, 16(9), 2207-2214.DOI
6 
Yang, K. F., Gao, S. B., & Li, Y. J. (2015). Efficient illuminant estimation for color constancy using grey pixels. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2254-2263).DOI
7 
Robby T Tan, Katsushi Ikeuchi, and Ko Nishino. Color constancy through inverse-intensity chromaticity space. In Digitally Archiving Cultural Objects, pages 323-351. Springer, 2008.DOI
8 
Sung-Min Woo, Sang-Ho Lee, Jun-Sang Yoo, and Jong-Ok Kim. Improving color constancy in an ambient light environment using the phong reflection model. IEEE Transactions on Image Processing, 27(4):1862-1877, 2018.DOI
9 
Simone Bianco, Claudio Cusano, and Raimondo Schettini, "Color Constancy Using CNNs", CVPR2015, pp. 81-89.DOI
10 
Yuanming Hu, Baoyuan Wang, and Stephen Lin, "FC4: Fully Convolutional Color Constancy with confidence-weighted Pooling", CVPR2017, pp. 4085-4094.DOI
11 
Jueqin Qiu, Haisong Xu, and Zhengnan Ye. Color constancy by reweighting image feature maps. IEEE Transactions on Image Processing, 29:5711-5721, 2020.DOI
12 
Yang, Q., Wang, S., Ahuja, N., & Yang, R. (2010). A uniform framework for estimating illumination chromaticity, correspondence, and specular reflection. IEEE Transactions on Image Processing, 20(1), 53-63.DOI
13 
Prinet, V., Lischinski, D., & Werman, M. (2013). Illuminant chromaticity from image sequences. In Proceedings of the IEEE International Conference on Computer Vision (pp. 3320-3327).DOI
14 
Yoo, J. S., & Kim, J. O. (2019). Dichromatic model based temporal color constancy for AC light sources. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 12329-12338).DOI
15 
Yoo, J. S., Lee, C. H., & Kim, J. O. (2021). Deep Dichromatic Model Estimation Under AC Light Sources. IEEE Transactions on Image Processing, 30, 7064-7073.DOI
16 
Ha, J. W., Yoo, J. S., & Kim, J. O. (2021, June). Deep color constancy using temporal gradient under AC light sources. In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2355-2359). IEEE.DOI
17 
Yoo, J. S., Lee, K. K., Lee, C. H., Seo, J. M., & Kim, J. O. (2022). Deep spatio-temporal illuminant estimation under time-varying AC lights. IEEE Access, 10, 15528-15538.DOI
18 
Yoo, J. S., Lee, C. H., & Kim, J. O. (2020, December). Deep temporal color constancy for ac light sources. In 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) (pp. 217-221). IEEE.DOI
19 
Barron, J. T., & Tsai, Y. T. (2017). Fast fourier color constancy. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 886-894).DOI
20 
Gehler, P. V., Rother, C., Blake, A., Minka, T., & Sharp, T. (2008, June). Bayesian color constancy revisited. In 2008 IEEE Conference on Computer Vision and Pattern Recognition (pp. 1-8). IEEE.DOI
21 
Cheng, D., Prasad, D.K., Brown, M.S.: Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution. JOSA A 31(5) (May 2014) 1049-1058.DOI
22 
Wang, X., Girshick, R., Gupta, A., & He, K. (2018). Non-local neural networks. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 7794-7803).DOI