Abstract

Images/videos captured from optical devices are usually degraded by turbid media such as haze, smoke, fog, rain and snow. Haze is the most common problem in outdoor scenes because of the atmosphere conditions. This paper proposes a novel single image-based dehazing framework to remove haze artifacts from images, where we propose two novel image priors, called the pixel-based dark channel prior and the pixel-based bright channel prior. Based on the two priors with the haze optical model, we propose to estimate atmospheric light via haze density analysis. We can then estimate transmission map, followed by refining it via the bilateral filter. As a result, high-quality haze-free images can be recovered with lower computational complexity compared with the state-of-the-art approach based on patch-based dark channel prior.

© 2013 Optical Society of America

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2013 (1)

X. Wang and Z. Wang, “A novel method for image retrieval based on structure elements’ descriptor,” J. Vis. Commun. Image Represent.24(1), 63–74 (2013).
[CrossRef]

2012 (3)

K. B. Gibson, D. T. Võ, and T. Q. Nguyen, “An investigation of dehazing effects on image and video coding,” IEEE Trans. Image Process.21(2), 662–673 (2012).
[CrossRef] [PubMed]

C. Xiao and J. Gan, “Fast image dehazing using guided joint bilateral filter,” Vis. Comput.28(6–8), 713–721 (2012).
[CrossRef]

L. W. Kang, C. W. Lin, and Y. H. Fu, “Automatic single-image-based rain streaks removal via image decomposition,” IEEE Trans. Image Process.21(4), 1742–1755 (2012).
[CrossRef] [PubMed]

2011 (2)

J. Bossu, N. Hautière, and J. P. Tarel, “Rain or snow detection in image sequences through use of a histogram of orientation of streaks,” Int. J. Comput. Vis.93(3), 348–367 (2011).
[CrossRef]

J. Zhang, L. Li, Y. Zhang, G. Yang, X. Cao, and J. Sun, “Video dehazing with spatial and temporal coherence,” Vis. Comput.27(6–8), 749–757 (2011).
[CrossRef]

2010 (4)

J. Zhang, L. Li, G. Yang, Y. Zhang, and J. Sun, “Local albedo-insensitive single image dehazing,” Vis. Comput.26(6–8), 761–768 (2010).
[CrossRef]

K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel Prior,” IEEE Trans. Pattern Anal. Mach. Intell.33(12), 2341–2353 (2010).
[PubMed]

C. T. Chu and M. S. Lee, “A content-adaptive method for single image dehazing,” Lect. Notes Comput. Sci.6298, 350–361 (2010).
[CrossRef]

P. C. Barnum, S. Narasimhan, and T. Kanade, “Analysis of rain and snow in frequency space,” Int. J. Comput. Vis.86(2–3), 256–274 (2010).
[CrossRef]

2009 (1)

2008 (3)

M. S. Shehata, J. Cai, W. M. Badawy, T. W. Burr, M. S. Pervez, R. J. Johannesson, and A. Radmanesh, “Video-based automatic incident detection for smart roads: the outdoor environmental challenges regarding false alarms,” IEEE Trans. Intell. Transp. Syst.9(2), 349–360 (2008).
[CrossRef]

J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, “Deep photo: model-based photograph enhancement and viewing,” ACM Trans. Graph.27(5), 1–10 (2008).
[CrossRef]

R. Fattal, “Single image dehazing,” ACM Trans. Graph.27(3), 1–9 (2008).
[CrossRef]

2007 (1)

K. Garg and S. K. Nayar, “Vision and rain,” Int. J. Comput. Vis.75(1), 3–27 (2007).
[CrossRef]

2003 (2)

S. G. Narasimhan and S. K. Nayar, “Contrast restoration of weather degraded images,” IEEE Trans. Pattern Anal. Mach. Intell.25(6), 713–724 (2003).
[CrossRef]

Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, “Polarization-based vision through haze,” Appl. Opt.42(3), 511–525 (2003).
[CrossRef] [PubMed]

2002 (1)

S. G. Narasimhan and S. K. Nayar, “Vision and the atmosphere,” Int. J. Comput. Vis.48(3), 233–254 (2002).
[CrossRef]

2001 (2)

B. S. Manjunath, J. R. Ohm, V. V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circ. Syst. Video Tech.11(6), 703–715 (2001).
[CrossRef]

K. K. Tan and J. P. Oakley, “Physics-based approach to color image enhancement in poor visibility conditions,” J. Opt. Soc. Am. A18(10), 2460–2467 (2001).
[CrossRef] [PubMed]

2000 (1)

1998 (1)

L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis,” IEEE Trans. Pattern Anal. Mach. Intell.20(11), 1254–1259 (1998).
[CrossRef]

Badawy, W. M.

M. S. Shehata, J. Cai, W. M. Badawy, T. W. Burr, M. S. Pervez, R. J. Johannesson, and A. Radmanesh, “Video-based automatic incident detection for smart roads: the outdoor environmental challenges regarding false alarms,” IEEE Trans. Intell. Transp. Syst.9(2), 349–360 (2008).
[CrossRef]

Barnum, P. C.

P. C. Barnum, S. Narasimhan, and T. Kanade, “Analysis of rain and snow in frequency space,” Int. J. Comput. Vis.86(2–3), 256–274 (2010).
[CrossRef]

Bossu, J.

J. Bossu, N. Hautière, and J. P. Tarel, “Rain or snow detection in image sequences through use of a histogram of orientation of streaks,” Int. J. Comput. Vis.93(3), 348–367 (2011).
[CrossRef]

Burr, T. W.

M. S. Shehata, J. Cai, W. M. Badawy, T. W. Burr, M. S. Pervez, R. J. Johannesson, and A. Radmanesh, “Video-based automatic incident detection for smart roads: the outdoor environmental challenges regarding false alarms,” IEEE Trans. Intell. Transp. Syst.9(2), 349–360 (2008).
[CrossRef]

Cai, J.

M. S. Shehata, J. Cai, W. M. Badawy, T. W. Burr, M. S. Pervez, R. J. Johannesson, and A. Radmanesh, “Video-based automatic incident detection for smart roads: the outdoor environmental challenges regarding false alarms,” IEEE Trans. Intell. Transp. Syst.9(2), 349–360 (2008).
[CrossRef]

Cao, X.

J. Zhang, L. Li, Y. Zhang, G. Yang, X. Cao, and J. Sun, “Video dehazing with spatial and temporal coherence,” Vis. Comput.27(6–8), 749–757 (2011).
[CrossRef]

Carlevaris-Bianco, N.

N. Carlevaris-Bianco, A. Mohan, and R. M. Eustice, “Initial results in underwater single image dehazing,” in Proceedings of MTS/IEEE OCEANS (Seattle, USA, 2010), pp. 1–8.
[CrossRef]

Chen, B.

J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, “Deep photo: model-based photograph enhancement and viewing,” ACM Trans. Graph.27(5), 1–10 (2008).
[CrossRef]

Chitwood, D.

Chu, C. T.

C. T. Chu and M. S. Lee, “A content-adaptive method for single image dehazing,” Lect. Notes Comput. Sci.6298, 350–361 (2010).
[CrossRef]

Cohen, M.

J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, “Deep photo: model-based photograph enhancement and viewing,” ACM Trans. Graph.27(5), 1–10 (2008).
[CrossRef]

Cohen-Or, D.

J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, “Deep photo: model-based photograph enhancement and viewing,” ACM Trans. Graph.27(5), 1–10 (2008).
[CrossRef]

Cozman, F.

F. Cozman and E. Krotkov, “Depth from scattering,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (San Juan, USA, 1997), pp. 801–806.
[CrossRef]

Deussen, O.

J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, “Deep photo: model-based photograph enhancement and viewing,” ACM Trans. Graph.27(5), 1–10 (2008).
[CrossRef]

Eustice, R. M.

N. Carlevaris-Bianco, A. Mohan, and R. M. Eustice, “Initial results in underwater single image dehazing,” in Proceedings of MTS/IEEE OCEANS (Seattle, USA, 2010), pp. 1–8.
[CrossRef]

Fattal, R.

R. Fattal, “Single image dehazing,” ACM Trans. Graph.27(3), 1–9 (2008).
[CrossRef]

Fu, Y. H.

L. W. Kang, C. W. Lin, and Y. H. Fu, “Automatic single-image-based rain streaks removal via image decomposition,” IEEE Trans. Image Process.21(4), 1742–1755 (2012).
[CrossRef] [PubMed]

Gan, J.

C. Xiao and J. Gan, “Fast image dehazing using guided joint bilateral filter,” Vis. Comput.28(6–8), 713–721 (2012).
[CrossRef]

Garg, K.

K. Garg and S. K. Nayar, “Vision and rain,” Int. J. Comput. Vis.75(1), 3–27 (2007).
[CrossRef]

Gibson, K. B.

K. B. Gibson, D. T. Võ, and T. Q. Nguyen, “An investigation of dehazing effects on image and video coding,” IEEE Trans. Image Process.21(2), 662–673 (2012).
[CrossRef] [PubMed]

Hautière, N.

J. Bossu, N. Hautière, and J. P. Tarel, “Rain or snow detection in image sequences through use of a histogram of orientation of streaks,” Int. J. Comput. Vis.93(3), 348–367 (2011).
[CrossRef]

J. P. Tarel and N. Hautière, “Fast visibility restoration from a single color or gray level image,” in Proceedings of IEEE International Conference on Computer Vision (Kyoto, Japan, 2009), pp. 2201–2208.
[CrossRef]

He, K.

K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel Prior,” IEEE Trans. Pattern Anal. Mach. Intell.33(12), 2341–2353 (2010).
[PubMed]

Henry, R. C.

Itti, L.

L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis,” IEEE Trans. Pattern Anal. Mach. Intell.20(11), 1254–1259 (1998).
[CrossRef]

Jahangiri, M.

M. Jahangiri and M. Petrou, “An attention model for extracting components that merit identification,” in Proceedings of IEEE International Conference on Image Processing (Cairo, Egypt, 2009), pp. 965–968.
[CrossRef]

Johannesson, R. J.

M. S. Shehata, J. Cai, W. M. Badawy, T. W. Burr, M. S. Pervez, R. J. Johannesson, and A. Radmanesh, “Video-based automatic incident detection for smart roads: the outdoor environmental challenges regarding false alarms,” IEEE Trans. Intell. Transp. Syst.9(2), 349–360 (2008).
[CrossRef]

Kanade, T.

P. C. Barnum, S. Narasimhan, and T. Kanade, “Analysis of rain and snow in frequency space,” Int. J. Comput. Vis.86(2–3), 256–274 (2010).
[CrossRef]

Kang, L. W.

L. W. Kang, C. W. Lin, and Y. H. Fu, “Automatic single-image-based rain streaks removal via image decomposition,” IEEE Trans. Image Process.21(4), 1742–1755 (2012).
[CrossRef] [PubMed]

L. W. Kang, C. W. Lin, C. T. Lin, and Y. C. Lin, “Self-learning-based rain streak removal for image/video,” in Proceedings of IEEE International Symposium on Circuits and Systems (Seoul, Korea, 2012), pp. 1871–1874.
[CrossRef]

Koch, C.

L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis,” IEEE Trans. Pattern Anal. Mach. Intell.20(11), 1254–1259 (1998).
[CrossRef]

Kopf, J.

J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, “Deep photo: model-based photograph enhancement and viewing,” ACM Trans. Graph.27(5), 1–10 (2008).
[CrossRef]

Krotkov, E.

F. Cozman and E. Krotkov, “Depth from scattering,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (San Juan, USA, 1997), pp. 801–806.
[CrossRef]

Lee, M. S.

C. T. Chu and M. S. Lee, “A content-adaptive method for single image dehazing,” Lect. Notes Comput. Sci.6298, 350–361 (2010).
[CrossRef]

Levin, A.

A. Levin, D. Lischinski, and Y. Weiss, “A closed form solution to natural image matting,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (New York, USA, 2006), pp. 61–68.
[CrossRef]

Li, L.

J. Zhang, L. Li, Y. Zhang, G. Yang, X. Cao, and J. Sun, “Video dehazing with spatial and temporal coherence,” Vis. Comput.27(6–8), 749–757 (2011).
[CrossRef]

J. Zhang, L. Li, G. Yang, Y. Zhang, and J. Sun, “Local albedo-insensitive single image dehazing,” Vis. Comput.26(6–8), 761–768 (2010).
[CrossRef]

Liao, Q.

J. Yu and Q. Liao, “Fast single image fog removal using edge-preserving smoothing,” in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, (Prague, Czech Republic, 2011), pp. 1245–1248.
[CrossRef]

Lin, C. T.

L. W. Kang, C. W. Lin, C. T. Lin, and Y. C. Lin, “Self-learning-based rain streak removal for image/video,” in Proceedings of IEEE International Symposium on Circuits and Systems (Seoul, Korea, 2012), pp. 1871–1874.
[CrossRef]

Lin, C. W.

L. W. Kang, C. W. Lin, and Y. H. Fu, “Automatic single-image-based rain streaks removal via image decomposition,” IEEE Trans. Image Process.21(4), 1742–1755 (2012).
[CrossRef] [PubMed]

L. W. Kang, C. W. Lin, C. T. Lin, and Y. C. Lin, “Self-learning-based rain streak removal for image/video,” in Proceedings of IEEE International Symposium on Circuits and Systems (Seoul, Korea, 2012), pp. 1871–1874.
[CrossRef]

Lin, Y. C.

L. W. Kang, C. W. Lin, C. T. Lin, and Y. C. Lin, “Self-learning-based rain streak removal for image/video,” in Proceedings of IEEE International Symposium on Circuits and Systems (Seoul, Korea, 2012), pp. 1871–1874.
[CrossRef]

Lischinski, D.

J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, “Deep photo: model-based photograph enhancement and viewing,” ACM Trans. Graph.27(5), 1–10 (2008).
[CrossRef]

A. Levin, D. Lischinski, and Y. Weiss, “A closed form solution to natural image matting,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (New York, USA, 2006), pp. 61–68.
[CrossRef]

Mahadev, S.

Manduchi, R.

C. Tomasi and R. Manduchi, “Bilateral filtering for gray and color images,” in Proceedings of IEEE International Conference on Computer Vision (Bombay, 1998), pp. 839–846.
[CrossRef]

Manjunath, B. S.

B. S. Manjunath, J. R. Ohm, V. V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circ. Syst. Video Tech.11(6), 703–715 (2001).
[CrossRef]

Mohan, A.

N. Carlevaris-Bianco, A. Mohan, and R. M. Eustice, “Initial results in underwater single image dehazing,” in Proceedings of MTS/IEEE OCEANS (Seattle, USA, 2010), pp. 1–8.
[CrossRef]

Namer, E.

E. Namer, S. Shwartz, and Y. Y. Schechner, “Skyless polarimetric calibration and visibility enhancement,” Opt. Express17(2), 472–493 (2009).
[CrossRef] [PubMed]

S. Shwartz, E. Namer, and Y. Y. Schechner, “Blind haze separation,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (New York, USA, 2006), pp. 1984 – 1991.

Narasimhan, S.

P. C. Barnum, S. Narasimhan, and T. Kanade, “Analysis of rain and snow in frequency space,” Int. J. Comput. Vis.86(2–3), 256–274 (2010).
[CrossRef]

Narasimhan, S. G.

S. G. Narasimhan and S. K. Nayar, “Contrast restoration of weather degraded images,” IEEE Trans. Pattern Anal. Mach. Intell.25(6), 713–724 (2003).
[CrossRef]

Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, “Polarization-based vision through haze,” Appl. Opt.42(3), 511–525 (2003).
[CrossRef] [PubMed]

S. G. Narasimhan and S. K. Nayar, “Vision and the atmosphere,” Int. J. Comput. Vis.48(3), 233–254 (2002).
[CrossRef]

S. G. Narasimhan and S. K. Nayar, “Chromatic framework for vision in bad weather,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Hilton Head Island, USA, 2000), pp. 598–605.
[CrossRef]

S. G. Narasimhan and S. K. Nayar, “Removing weather effects from monochrome images,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Kauai, Hawaii, USA, 2001), pp. 186–193.

Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, “Instant dehazing of images using polarization,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Kauai, Hawaii, USA, 2001), pp. 325–332.

S. K. Nayar and S. G. Narasimhan, “Vision in bad weather,” in Proceedings of IEEE International Conference on Computer Vision (Kerkyra, Greece, 1999), pp. 820–827.
[CrossRef]

S. G. Narasimhan and S. K. Nayar, “Interactive deweathering of an image using physical models,” Proceedings of IEEE Workshop Color and Photometric Methods in Computer Vision (2003).

Nayar, S. K.

K. Garg and S. K. Nayar, “Vision and rain,” Int. J. Comput. Vis.75(1), 3–27 (2007).
[CrossRef]

Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, “Polarization-based vision through haze,” Appl. Opt.42(3), 511–525 (2003).
[CrossRef] [PubMed]

S. G. Narasimhan and S. K. Nayar, “Contrast restoration of weather degraded images,” IEEE Trans. Pattern Anal. Mach. Intell.25(6), 713–724 (2003).
[CrossRef]

S. G. Narasimhan and S. K. Nayar, “Vision and the atmosphere,” Int. J. Comput. Vis.48(3), 233–254 (2002).
[CrossRef]

S. G. Narasimhan and S. K. Nayar, “Chromatic framework for vision in bad weather,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Hilton Head Island, USA, 2000), pp. 598–605.
[CrossRef]

S. G. Narasimhan and S. K. Nayar, “Removing weather effects from monochrome images,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Kauai, Hawaii, USA, 2001), pp. 186–193.

S. K. Nayar and S. G. Narasimhan, “Vision in bad weather,” in Proceedings of IEEE International Conference on Computer Vision (Kerkyra, Greece, 1999), pp. 820–827.
[CrossRef]

Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, “Instant dehazing of images using polarization,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Kauai, Hawaii, USA, 2001), pp. 325–332.

S. G. Narasimhan and S. K. Nayar, “Interactive deweathering of an image using physical models,” Proceedings of IEEE Workshop Color and Photometric Methods in Computer Vision (2003).

Neubert, B.

J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, “Deep photo: model-based photograph enhancement and viewing,” ACM Trans. Graph.27(5), 1–10 (2008).
[CrossRef]

Nguyen, T. Q.

K. B. Gibson, D. T. Võ, and T. Q. Nguyen, “An investigation of dehazing effects on image and video coding,” IEEE Trans. Image Process.21(2), 662–673 (2012).
[CrossRef] [PubMed]

Niebur, E.

L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis,” IEEE Trans. Pattern Anal. Mach. Intell.20(11), 1254–1259 (1998).
[CrossRef]

Oakley, J. P.

Ohm, J. R.

B. S. Manjunath, J. R. Ohm, V. V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circ. Syst. Video Tech.11(6), 703–715 (2001).
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M. S. Shehata, J. Cai, W. M. Badawy, T. W. Burr, M. S. Pervez, R. J. Johannesson, and A. Radmanesh, “Video-based automatic incident detection for smart roads: the outdoor environmental challenges regarding false alarms,” IEEE Trans. Intell. Transp. Syst.9(2), 349–360 (2008).
[CrossRef]

Petrou, M.

M. Jahangiri and M. Petrou, “An attention model for extracting components that merit identification,” in Proceedings of IEEE International Conference on Image Processing (Cairo, Egypt, 2009), pp. 965–968.
[CrossRef]

Radmanesh, A.

M. S. Shehata, J. Cai, W. M. Badawy, T. W. Burr, M. S. Pervez, R. J. Johannesson, and A. Radmanesh, “Video-based automatic incident detection for smart roads: the outdoor environmental challenges regarding false alarms,” IEEE Trans. Intell. Transp. Syst.9(2), 349–360 (2008).
[CrossRef]

Schechner, Y. Y.

E. Namer, S. Shwartz, and Y. Y. Schechner, “Skyless polarimetric calibration and visibility enhancement,” Opt. Express17(2), 472–493 (2009).
[CrossRef] [PubMed]

Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, “Polarization-based vision through haze,” Appl. Opt.42(3), 511–525 (2003).
[CrossRef] [PubMed]

Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, “Instant dehazing of images using polarization,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Kauai, Hawaii, USA, 2001), pp. 325–332.

S. Shwartz, E. Namer, and Y. Y. Schechner, “Blind haze separation,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (New York, USA, 2006), pp. 1984 – 1991.

Shehata, M. S.

M. S. Shehata, J. Cai, W. M. Badawy, T. W. Burr, M. S. Pervez, R. J. Johannesson, and A. Radmanesh, “Video-based automatic incident detection for smart roads: the outdoor environmental challenges regarding false alarms,” IEEE Trans. Intell. Transp. Syst.9(2), 349–360 (2008).
[CrossRef]

Shwartz, S.

E. Namer, S. Shwartz, and Y. Y. Schechner, “Skyless polarimetric calibration and visibility enhancement,” Opt. Express17(2), 472–493 (2009).
[CrossRef] [PubMed]

S. Shwartz, E. Namer, and Y. Y. Schechner, “Blind haze separation,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (New York, USA, 2006), pp. 1984 – 1991.

Sun, J.

J. Zhang, L. Li, Y. Zhang, G. Yang, X. Cao, and J. Sun, “Video dehazing with spatial and temporal coherence,” Vis. Comput.27(6–8), 749–757 (2011).
[CrossRef]

K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel Prior,” IEEE Trans. Pattern Anal. Mach. Intell.33(12), 2341–2353 (2010).
[PubMed]

J. Zhang, L. Li, G. Yang, Y. Zhang, and J. Sun, “Local albedo-insensitive single image dehazing,” Vis. Comput.26(6–8), 761–768 (2010).
[CrossRef]

Tan, K. K.

Tang, X.

K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel Prior,” IEEE Trans. Pattern Anal. Mach. Intell.33(12), 2341–2353 (2010).
[PubMed]

Tarel, J. P.

J. Bossu, N. Hautière, and J. P. Tarel, “Rain or snow detection in image sequences through use of a histogram of orientation of streaks,” Int. J. Comput. Vis.93(3), 348–367 (2011).
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J. P. Tarel and N. Hautière, “Fast visibility restoration from a single color or gray level image,” in Proceedings of IEEE International Conference on Computer Vision (Kyoto, Japan, 2009), pp. 2201–2208.
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Tomasi, C.

C. Tomasi and R. Manduchi, “Bilateral filtering for gray and color images,” in Proceedings of IEEE International Conference on Computer Vision (Bombay, 1998), pp. 839–846.
[CrossRef]

Urquijo, S.

Uyttendaele, M.

J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, “Deep photo: model-based photograph enhancement and viewing,” ACM Trans. Graph.27(5), 1–10 (2008).
[CrossRef]

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B. S. Manjunath, J. R. Ohm, V. V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circ. Syst. Video Tech.11(6), 703–715 (2001).
[CrossRef]

Võ, D. T.

K. B. Gibson, D. T. Võ, and T. Q. Nguyen, “An investigation of dehazing effects on image and video coding,” IEEE Trans. Image Process.21(2), 662–673 (2012).
[CrossRef] [PubMed]

Wang, X.

X. Wang and Z. Wang, “A novel method for image retrieval based on structure elements’ descriptor,” J. Vis. Commun. Image Represent.24(1), 63–74 (2013).
[CrossRef]

Wang, Z.

X. Wang and Z. Wang, “A novel method for image retrieval based on structure elements’ descriptor,” J. Vis. Commun. Image Represent.24(1), 63–74 (2013).
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Weiss, Y.

A. Levin, D. Lischinski, and Y. Weiss, “A closed form solution to natural image matting,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (New York, USA, 2006), pp. 61–68.
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Xiao, C.

C. Xiao and J. Gan, “Fast image dehazing using guided joint bilateral filter,” Vis. Comput.28(6–8), 713–721 (2012).
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Yamada, A.

B. S. Manjunath, J. R. Ohm, V. V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circ. Syst. Video Tech.11(6), 703–715 (2001).
[CrossRef]

Yang, G.

J. Zhang, L. Li, Y. Zhang, G. Yang, X. Cao, and J. Sun, “Video dehazing with spatial and temporal coherence,” Vis. Comput.27(6–8), 749–757 (2011).
[CrossRef]

J. Zhang, L. Li, G. Yang, Y. Zhang, and J. Sun, “Local albedo-insensitive single image dehazing,” Vis. Comput.26(6–8), 761–768 (2010).
[CrossRef]

Yu, J.

J. Yu and Q. Liao, “Fast single image fog removal using edge-preserving smoothing,” in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, (Prague, Czech Republic, 2011), pp. 1245–1248.
[CrossRef]

Zhang, J.

J. Zhang, L. Li, Y. Zhang, G. Yang, X. Cao, and J. Sun, “Video dehazing with spatial and temporal coherence,” Vis. Comput.27(6–8), 749–757 (2011).
[CrossRef]

J. Zhang, L. Li, G. Yang, Y. Zhang, and J. Sun, “Local albedo-insensitive single image dehazing,” Vis. Comput.26(6–8), 761–768 (2010).
[CrossRef]

Zhang, Y.

J. Zhang, L. Li, Y. Zhang, G. Yang, X. Cao, and J. Sun, “Video dehazing with spatial and temporal coherence,” Vis. Comput.27(6–8), 749–757 (2011).
[CrossRef]

J. Zhang, L. Li, G. Yang, Y. Zhang, and J. Sun, “Local albedo-insensitive single image dehazing,” Vis. Comput.26(6–8), 761–768 (2010).
[CrossRef]

ACM Trans. Graph. (2)

R. Fattal, “Single image dehazing,” ACM Trans. Graph.27(3), 1–9 (2008).
[CrossRef]

J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, “Deep photo: model-based photograph enhancement and viewing,” ACM Trans. Graph.27(5), 1–10 (2008).
[CrossRef]

Appl. Opt. (1)

IEEE Trans. Circ. Syst. Video Tech. (1)

B. S. Manjunath, J. R. Ohm, V. V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circ. Syst. Video Tech.11(6), 703–715 (2001).
[CrossRef]

IEEE Trans. Image Process. (2)

L. W. Kang, C. W. Lin, and Y. H. Fu, “Automatic single-image-based rain streaks removal via image decomposition,” IEEE Trans. Image Process.21(4), 1742–1755 (2012).
[CrossRef] [PubMed]

K. B. Gibson, D. T. Võ, and T. Q. Nguyen, “An investigation of dehazing effects on image and video coding,” IEEE Trans. Image Process.21(2), 662–673 (2012).
[CrossRef] [PubMed]

IEEE Trans. Intell. Transp. Syst. (1)

M. S. Shehata, J. Cai, W. M. Badawy, T. W. Burr, M. S. Pervez, R. J. Johannesson, and A. Radmanesh, “Video-based automatic incident detection for smart roads: the outdoor environmental challenges regarding false alarms,” IEEE Trans. Intell. Transp. Syst.9(2), 349–360 (2008).
[CrossRef]

IEEE Trans. Pattern Anal. Mach. Intell. (3)

S. G. Narasimhan and S. K. Nayar, “Contrast restoration of weather degraded images,” IEEE Trans. Pattern Anal. Mach. Intell.25(6), 713–724 (2003).
[CrossRef]

L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis,” IEEE Trans. Pattern Anal. Mach. Intell.20(11), 1254–1259 (1998).
[CrossRef]

K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel Prior,” IEEE Trans. Pattern Anal. Mach. Intell.33(12), 2341–2353 (2010).
[PubMed]

Int. J. Comput. Vis. (4)

P. C. Barnum, S. Narasimhan, and T. Kanade, “Analysis of rain and snow in frequency space,” Int. J. Comput. Vis.86(2–3), 256–274 (2010).
[CrossRef]

J. Bossu, N. Hautière, and J. P. Tarel, “Rain or snow detection in image sequences through use of a histogram of orientation of streaks,” Int. J. Comput. Vis.93(3), 348–367 (2011).
[CrossRef]

S. G. Narasimhan and S. K. Nayar, “Vision and the atmosphere,” Int. J. Comput. Vis.48(3), 233–254 (2002).
[CrossRef]

K. Garg and S. K. Nayar, “Vision and rain,” Int. J. Comput. Vis.75(1), 3–27 (2007).
[CrossRef]

J. Opt. Soc. Am. A (2)

J. Vis. Commun. Image Represent. (1)

X. Wang and Z. Wang, “A novel method for image retrieval based on structure elements’ descriptor,” J. Vis. Commun. Image Represent.24(1), 63–74 (2013).
[CrossRef]

Lect. Notes Comput. Sci. (1)

C. T. Chu and M. S. Lee, “A content-adaptive method for single image dehazing,” Lect. Notes Comput. Sci.6298, 350–361 (2010).
[CrossRef]

Opt. Express (1)

Vis. Comput. (3)

J. Zhang, L. Li, Y. Zhang, G. Yang, X. Cao, and J. Sun, “Video dehazing with spatial and temporal coherence,” Vis. Comput.27(6–8), 749–757 (2011).
[CrossRef]

J. Zhang, L. Li, G. Yang, Y. Zhang, and J. Sun, “Local albedo-insensitive single image dehazing,” Vis. Comput.26(6–8), 761–768 (2010).
[CrossRef]

C. Xiao and J. Gan, “Fast image dehazing using guided joint bilateral filter,” Vis. Comput.28(6–8), 713–721 (2012).
[CrossRef]

Other (18)

J. P. Tarel and N. Hautière, “Fast visibility restoration from a single color or gray level image,” in Proceedings of IEEE International Conference on Computer Vision (Kyoto, Japan, 2009), pp. 2201–2208.
[CrossRef]

N. Carlevaris-Bianco, A. Mohan, and R. M. Eustice, “Initial results in underwater single image dehazing,” in Proceedings of MTS/IEEE OCEANS (Seattle, USA, 2010), pp. 1–8.
[CrossRef]

R. Tan, “Visibility in bad weather from a single image,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Anchorage, Alaska, USA, 2008), pp. 1–8.
[CrossRef]

J. Yu and Q. Liao, “Fast single image fog removal using edge-preserving smoothing,” in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, (Prague, Czech Republic, 2011), pp. 1245–1248.
[CrossRef]

M. H. Pinson and S. Wolf, “Comparing subjective video quality testing methodologies,” in Proceedings of SPIE 5150, Visual Communications and Image Processing (2003).

S. Maji, A. C. Berg, and J. Malik, “Classification using intersection kernel support vector machines is efficient,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Anchorage, Alaska, USA, 2008), pp. 1–8.
[CrossRef]

C. Tomasi and R. Manduchi, “Bilateral filtering for gray and color images,” in Proceedings of IEEE International Conference on Computer Vision (Bombay, 1998), pp. 839–846.
[CrossRef]

A. Levin, D. Lischinski, and Y. Weiss, “A closed form solution to natural image matting,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (New York, USA, 2006), pp. 61–68.
[CrossRef]

S. G. Narasimhan and S. K. Nayar, “Interactive deweathering of an image using physical models,” Proceedings of IEEE Workshop Color and Photometric Methods in Computer Vision (2003).

F. Cozman and E. Krotkov, “Depth from scattering,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (San Juan, USA, 1997), pp. 801–806.
[CrossRef]

M. Jahangiri and M. Petrou, “An attention model for extracting components that merit identification,” in Proceedings of IEEE International Conference on Image Processing (Cairo, Egypt, 2009), pp. 965–968.
[CrossRef]

J. Harel, C. Koch, and P. Perona, “Graph-based visual saliency,” in Proceedings of Advances in Neural Information Processing Systems (2007), pp. 545–552.

L. W. Kang, C. W. Lin, C. T. Lin, and Y. C. Lin, “Self-learning-based rain streak removal for image/video,” in Proceedings of IEEE International Symposium on Circuits and Systems (Seoul, Korea, 2012), pp. 1871–1874.
[CrossRef]

S. G. Narasimhan and S. K. Nayar, “Removing weather effects from monochrome images,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Kauai, Hawaii, USA, 2001), pp. 186–193.

Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, “Instant dehazing of images using polarization,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Kauai, Hawaii, USA, 2001), pp. 325–332.

S. Shwartz, E. Namer, and Y. Y. Schechner, “Blind haze separation,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (New York, USA, 2006), pp. 1984 – 1991.

S. K. Nayar and S. G. Narasimhan, “Vision in bad weather,” in Proceedings of IEEE International Conference on Computer Vision (Kerkyra, Greece, 1999), pp. 820–827.
[CrossRef]

S. G. Narasimhan and S. K. Nayar, “Chromatic framework for vision in bad weather,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Hilton Head Island, USA, 2000), pp. 598–605.
[CrossRef]

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Figures (14)

Fig. 1
Fig. 1

An example illustration of haze optical model applied to a natural scenario with haze.

Fig. 2
Fig. 2

An example of the proposed pixel-based dark/bright channel prior: (a) the original haze-free image; (b) the pixel-based dark channel version of (a); (c) the histogram of (b); (d) the pixel-based bright channel version of (a); and (e) the histogram of (d).

Fig. 3
Fig. 3

An example illustrating the proposed estimation method of atmospheric light, where the red dotted line means the pixel value corresponding to the top 0.1% brightest value in J dark_pixel , and the blue dotted line means the pixel value corresponding to the top 30% darkest value in J bright_pixel .

Fig. 4
Fig. 4

An example illustrating the proposed dehazing method: (a) the hazy image to be dehazed; (b) the transmission map of (a) obtained by the proposed method; (c) the refined transmission map by using the bilateral filter; and (d) the dehazed image of (a) obtained by the proposed method.

Fig. 5
Fig. 5

Applying the HOG-based pedestrian detector released from [4] to: (a) the original hazy image; and (b) the haze-removed version (obtained by the proposed method) of (a), where more pedestrians can be detected in (b).

Fig. 6
Fig. 6

Applying the visual attention model-based blob detector released from [6] to: (a) the original hazy image; and (b) the haze-removed version (obtained by the proposed method) of (a), where more objects of interest can be detected in (b).

Fig. 7
Fig. 7

Applying the graph-based approach released from [7] to calculate the visual saliency map for: (a) the original hazy image; and (b) the haze-removed version (obtained by the proposed method) of (a), where more accurate saliency map can be obtained in (b).

Fig. 8
Fig. 8

Dehazing results: (a) hazy image; the haze-removed versions of (a) via (b) Fattal’s; (c) He’s; and (d) proposed methods.

Fig. 9
Fig. 9

Dehazing results: (a) hazy image; the haze-removed versions of (a) via (b) Fattal’s; (c) He’s; and (d) proposed methods.

Fig. 10
Fig. 10

Dehazing results: (a) hazy image; the haze-removed versions of (a) via (b) Fattal’s; (c) He’s; and (d) proposed methods.

Fig. 11
Fig. 11

Dehazing results: (a) hazy image; the haze-removed versions of (a) via (b) Fattal’s; and (c) proposed methods.

Fig. 12
Fig. 12

Dehazing results: (a) hazy image; the haze-removed versions of (a) via (b) He’s; and (c) proposed methods.

Fig. 13
Fig. 13

Dehazing results: (a) hazy image; the haze-removed versions of (a) via (b) Tan’s; and (c) proposed methods.

Fig. 14
Fig. 14

Dehazing results: (a) hazy image; the haze-removed versions of (a) via (b) Tan’s; and (c) proposed methods.

Tables (2)

Tables Icon

Table 1 Subjective evaluation results of Tan’s [22], Fattal’s [23], He’s [28], and the proposed methods

Tables Icon

Table 2 Run time (in seconds) comparison between He’s method [28] and the proposed method.

Equations (12)

Equations on this page are rendered with MathJax. Learn more.

I ( x ) = J ( x ) t ( x ) + A ( 1 t ( x ) ) ,
J dark ( x ) = min y Ω ( x ) [ min c { R , G , B } J c ( y ) ] ,
t ( x ) = 1 w min y Ω ( x ) [ min c I c ( y ) A c ] ,
J ( x ) = I ( x ) A max ( t ( x ) , t 0 ) + A ,
J dark_pixel ( x ) = min c { R , G , B } J c ( x ) ,
J bright_pixel ( x ) = max c { R , G , B } J c ( x ) .
d ( x ) = I HSV ( x ) B ,
s ( x ) = 1 d ( x ) max y I HSV [ d ( y ) ] .
A c ( x ) = | A highest c A lowest c max y I HSV [ 1 1 d ( y ) ] min y I HSV [ 1 1 d ( y ) ] | × s ( x ) ,
min c { R , G , B } [ I c ( x ) A c ( x ) ] = t ( x ) min c { R , G , B } [ J c ( x ) A c ( x ) ] + 1 t ( x ) .
t ( x ) = 1 w ( x ) [ min c { R , G , B } I c ( x ) A c ( x ) ] ,
J ( x ) = I ( x ) A ( x ) max ( t ( x ) , t 0 ) + A ( x ) ,

Metrics