[1] Yu J, Xu D B, Liao Q M. Image defogging: a survey[J]. Journal of Image and Graphics, 16, 1561-1576(2011).

[2] Xiao J S, Shan S S, Duan P F et al. A fast image enhancement algorithm based on fusion of different color spaces[J]. Acta Automatica Sinica, 40, 697-705(2014).

[3] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 2341-2353(2011). http://dl.acm.org/citation.cfm?id=2068459.2068579

[4] Wagdy M, Faye I, Rohaya D. Border noise removal and clean up based on Retinex theory. [C]∥Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). Singapore: Springer, 285, 345-352(2014).

[5] Schwarz M W, Cowan W B, Beatty J C. An experimental comparison of RGB, YIQ, LAB, HSV, and opponent color models[J]. ACM Transactions on Graphics, 6, 123-158(1987). http://doi.acm.org/10.1145/31336.31338

[6] Rui Y B, Li P, Sun J T. Images defogging techniques based on color constancy theory[J]. Journal of Nanjing University of Science and Technology(Natural Science), 30, 622-625(2006).

[7] Rui Y B, Li P, Sun J T. Method of removing fog effect from images[J]. Journal of Computer Applications, 26, 154-156(2006).

[8] Chen G, Zhou H Q, Yan J F. A novel method for moving object detection in foggy day. [C]∥Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), July 30-August 1, 2007, Qingdao, China. New York:, 53-58(2007).

[9] Zeng H D, Zhang R. Restoring and enhancing of thin fog and cloud degraded images based on wavelet analysis[J]. Journal of PLA University of Science and Technology (Natural Science), 6, 76-80(2005).

[10] Kawasaki K, Taguchi A. A multiscale retinex based on wavelet transformation. [C]∥2014 IEEE Asia Pacific Conference on Circuits and Systems, November 17-20, 2014, Ishigaki, Japan. New York: IEEE, 33-36(2015).

[11] Feng Y, He M Y, Liu W H. A new method for foggy image enhancment. [C]∥2009 4th IEEE Conference on Industrial Electronics and Applications, May 25-27, 2009, Xi'an, China. New York: IEEE, 2416-2419(2009).

[12] Wang P, Zhang C, Luo Y X. Fast algorithm to enhance contrast of fog-degraded images[J]. Computer Applications, 26, 152-153, 156(2006).

[13] Jia Z, Wang H C, Caballero R et al. Real-time content adaptive contrast enhancement for see-through fog and rain. [C]∥2010 IEEE International Conference on Acoustics Speech and Signal Processing, March 14-19, 2010, Dallas, State of Texas. New York: IEEE, 1378-1381(2010).

[14] Wu Y Q, Shi J P. Image enhancement in non-subsampled Contourlet transform domain based on multi-scale Retinex[J]. Acta Optica Sinica, 35, 0310002(2015).

[15] Chen M S, Cai Z S. Study on fusion of visual and infrared images based on NSCT[J]. Laser & Optoelectronics Progress, 52, 061002(2015).

[16] Kong W W, Lei Y J, Lei Y et al. Fusion technique for gray-scale visible light and infrared images based on NSCT and IHS transform[J]. Systems Engineering and Electronics, 32, 1389-1393(2010).

[17] Li Q Z, Liu Q. Adaptive enhancement algorithm for low illumination images based on wavelet transform[J]. Chinese Journal of Lasers, 42, 0209001(2015).

[18] Shensa M J. The discrete wavelet transform: wedding the a trous and Mallat algorithms[J]. IEEE Transactions on Signal Processing, 40, 2464-2482(1992). http://dl.acm.org/citation.cfm?id=2202176

[19] Zhang Y Y. Research of haze color image enhancement based on multi-scale Retinex[J]. Packaging Journal, 8, 60-65(2016).

[20] Zhao C L, Dong J W. Image enhancement algorithm of haze weather based on dark channel and multi-scale Retinex[J]. Laser Journal, 39, 104-109(2018).

[21] Wang Y F, Yin C L, Huang Y M et al. Image haze removal using a bilateral filter[J]. Journal of Image and Graphics, 19, 386-392(2014).

[22] Li H X, Zhang B, Liu D et al. Surface crack detection algorithm based on double threshold and tensor voting[J]. Laser & Optoelectronics Progress, 55, 051010(2018).