References
- ISO 9358:1994 Optics and Optical Instruments – Veiling Glare of Image Forming Systems – Definitions and Methods of Measurement;International Organization for Standardization: Geneva, 1994.
- Dietmar, W. Image Flare Measurement According to ISO 18844. Electron Imaging 2016, 2016 (18), 1–7.
- Faulkner, K.; Kotre, C.J.; Louka, M. Veiling glare deconvolution of images produced by x-ray image intensifiers//Image Processing and its Applications, 1989. Third International Conference on. IET, 1989; pp. 669–673.
- Starck J.L.; Pantin, E.; Murtagh, F. Deconvolution in Astronomy: A Review. Publ Astron Soc Pac 2002, 114 (800), 1051.
- Talvala, E.V.; Adams, A.; Horowitz, M. Veiling Glare in High Dynamic Range Imaging//ACM Transactions on Graphics (TOG). ACM. 2007, 26 (3), 37.
- Raskar, R.; Agrawal, A.; Wilson, C.A. Glare Aware Photography: 4D ray Sampling for Reducing Glare Effects of Camera Lenses//ACM Transactions on Graphics (TOG). ACM. 2008, 27 (3), 56.
- Hara, T.; Saito, H.; Kanade, T. Removal of glare caused by water droplets//Visual Media Production, 2009. CVMP’09. Conference for. IEEE, 2009; pp. 144–151.
- Koreban, F.; Schechner, Y.Y. Geometry by deflaring//Computational Photography (ICCP), 2009 IEEE International Conference on. IEEE, 2009; pp. 1–8.
- He, K.; Sun, J.; Tang, X. Single Image Haze Removal Using Dark Channel Prior. IEEE Trans Pattern Anal Machine Intel 2011, 33 (12), 2341–2353.
- Berman, D.; Avidan, S. Non-local image dehazing//Proceedings of the IEEE conference on computer vision and pattern recognition. 2016; pp. 1674–1682.
- Li, Y.; Tan, R.T.; Brown, M.S. Nighttime haze removal with glow and multiple light colors//Proceedings of the IEEE International Conference on Computer Vision. 2015; pp. 226–234.
- Li, Y.; Brown, M.S. Single image layer separation using relative smoothness//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2014; pp. 2752–2759.
- Zhang, J.; Yang, C.; Shuai, F. Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017; pp. 7418–7426.
- Buchsbaum, G. A Spatial Processor Model for Object Colour Perception. J Franklin Ins 1980, 310 (1), 1–26.
- Land, E.H.; McCann, J.J. Lightness and Retinex Theory. Josa 1971, 61 (1), 1–11.
- Lam, E.Y. Combining gray world and retinex theory for automatic white balance in digital photography//Consumer Electronics, 2005.(ISCE 2005). Proceedings of the Ninth International Symposium on. IEEE, 2005; pp. 134–139.
- Pizer, S.M.; Amburn, E.P.; Austin, J.D. Adaptive Histogram Equalization and its Variations. Computer Vision, Graphics, Image Process 1987, 39 (3), 355–368.
- Kim, J.H.; Jang, W.D.; Sim, J.Y. Optimized Contrast Enhancement for Real-Time Image and Video Dehazing. J Vis Commun Image Represent 2013, 24 (3), 410–425.