Dark and Bright Envelopes for Dehazing Images

We present a method for dehazing images. A dark
envelope image is derived with the bilateral minimum filter and a
bright envelope is derived with the bilateral maximum filter. The
ambient light and transmission of the scene are estimated from these
two envelope images. An image without haze is reconstructed from
the estimated ambient light and transmission.





References:
[1] R. Fattal, "Single image dehazing”, ACM Trans. Graph., 27, 3, 2008.
[2] K. He, J. Sun and X. Tang, "Single image haze removal using dark
channel prior”, Proc.CVPR, pp.1956-1963, 2009.
[3] J. Yu and Q. Liao, "Fast single image fog removal using edge-preserving
smoothing”, Proc.ICASSP, pp.1245-1248, 2011.
[4] J. Zhang, L. Li, G. Yang, Y. Zhang and J. Sun, "Local albedo-insensitive
single image dehazing”, Visual Comput., 26, 6-8, pp.761-768, 2010.
[5] J. Yu, C. Xiao and D. Li, "Physics-based fast single image fog removal”,
Proc. ICSP, pp.1048-1052, 2010.
[6] X. Dong, G. Wang, Y. Pang, W. Li, J. Wen, W. Meng and Y. Lu, "Fast
efficient algorithm for enhancement of low lighting video”, Proc.ICME
pp.1-6, 2011.
[7] C. O. Ancuti, C. Ancuti and P. Bekaert, "Effective single image dehazing
by fusion”, Proc.ICIP, pp.3541-3544, 2010.
[8] T. O. Aydin, R. Mantiuk, K. Myszkowski, and H.-S. Seidel, "Dynamic
range independent image quality assessment”, ACM Trans. Graph., 27,
3, 2008.
[9] J.-P. Tarel and N. Hautiere, "Fast visibility restoration from a single
color or gray level image”, Proc.ICCV, pp.2201-2208, 2009.
[10] J. Kopf, B. Neubert, B. Chen, M. F. Cohen, D. Cohen-Or, O.
Deussen, M. Uyttendaele and D. Lischinski, "Deep photo: model-based
photograph enhancement and viewing”, ACM Trans. Graph., 27, 5, 116,
2008.