Bayesian Defogging
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[1] Evon M. O. Abu-Taieh,et al. Comparative Study , 2020, Definitions.
[2] Raanan Fattal,et al. Single image dehazing , 2008, ACM Trans. Graph..
[3] Vladimir Kolmogorov,et al. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision , 2001, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Xiaoou Tang,et al. Single Image Haze Removal Using Dark Channel Prior , 2011 .
[5] Shree K. Nayar,et al. Shedding light on the weather , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[6] W. Middleton,et al. Vision Through the Atmosphere , 1952 .
[7] Ramin Zabih,et al. Factorial Markov Random Fields , 2002, ECCV.
[8] David W. Jacobs,et al. In search of illumination invariants , 2001, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[9] Shree K. Nayar,et al. Contrast Restoration of Weather Degraded Images , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Ko Nishino,et al. Factorizing Scene Albedo and Depth from a Single Foggy Image , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[11] Shree K. Nayar,et al. Vision and the Atmosphere , 2002, International Journal of Computer Vision.
[12] Shree K. Nayar,et al. All the Images of an Outdoor Scene , 2002, ECCV.
[13] Steven A. Shafer,et al. Using color to separate reflection components , 1985 .
[14] L. J. Cox. Optics of the Atmosphere-Scattering by Molecules and Particles , 1977 .
[15] Olga Veksler,et al. Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[16] A. Cantor. Optics of the atmosphere--Scattering by molecules and particles , 1978, IEEE Journal of Quantum Electronics.
[17] Richard Szeliski,et al. A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Jean-Philippe Tarel,et al. Fast visibility restoration from a single color or gray level image , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[19] Huang Yumin,et al. A PHYSICAL APPROACH TO COLOR IMAGE UNDERSTANDING , 1991 .
[20] John P. Oakley,et al. Improving image quality in poor visibility conditions using a physical model for contrast degradation , 1998, IEEE Trans. Image Process..
[21] Nikos Komodakis,et al. Beyond pairwise energies: Efficient optimization for higher-order MRFs , 2009, CVPR.
[22] Richard Szeliski,et al. A Comparative Study of Energy Minimization Methods for Markov Random Fields , 2006, ECCV.
[23] Robby T. Tan,et al. Visibility in bad weather from a single image , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Dani Lischinski,et al. Deep photo: model-based photograph enhancement and viewing , 2008, SIGGRAPH 2008.
[25] K K Tan,et al. Physics-based approach to color image enhancement in poor visibility conditions. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.
[26] Yoav Y Schechner,et al. Polarization-based vision through haze. , 2008, Applied optics.
[27] B. Wandell,et al. Standard surface-reflectance model and illuminant estimation , 1989 .
[28] Richard R. Brooks,et al. Atmospheric attenuation reduction through multisensor fusion , 1998, Defense, Security, and Sensing.
[29] S. Nayar,et al. Interactive ( De ) Weathering of an Image using Physical Models ∗ , 2003 .