Single image dehazing through improved atmospheric light estimation

Multimedia Tools and Applications

Volumn 75, Issue 24, 2016, Pages 17081-17096

  Lu, Huimin ^a,b,c   Li, Yujie ^a   Nakashima, Shota ^d   Serikawa, Seiichi ^a  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

^d YAMAGUCHI UNIVERSITY   (Japan)

Author keywords

Atmospheric light estimation; Image dehazing; Image enhancement; Image restoration

Indexed keywords

IMAGE ENHANCEMENT; IMAGE RECONSTRUCTION; TRANSPORTATION;

DEHAZING; IMAGE CONTRAST ENHANCEMENT; LIGHT ESTIMATIONS; POOR VISIBILITY; PROCESSED IMAGES; SINGLE IMAGE DEHAZING; TRANSPORT SYSTEMS; VIDEO FRAME;

DEMULSIFICATION;

EID: 84944710433     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-015-2977-7     Document Type: Article

References (22)

1. Ahlen J, Sundgren D, Bengtsson E (2007) Application of underwater hyperspectal data for color correction purposes. Pattern Recog Image Anal 17(1):170–173
2. C. Ancuti, C. O. Ancuti, T. Haber, P. Bekaert, “Enhancing underwater images and videos by fusion”, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 81–88, 2012.
3. F. Cozman, E. Krotkov, “Depth from scattering”, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp.801–806, 1997.
4. Fattal R (2008) Single image dehazing. ACM Trans Graph 27(3):1–8
5. Fattal R (2014) Dehazing using color-lines. ACM Trans Graph:1–10
6. Gibson KB, Vo DT, Nguyen TQ (2012) An investigation of dehazing effects on image and video coding. IEEE Trans Image Process 21(2):662–673
7. N. Hautiere, J.P. Tarel, D. Aubert, “Towards fog-free in-vehicle vision systems through contrast restoration”, in IEEE Conference on Computer Vision and Pattern Recognition, pp.1–8, 2008.
8. Hautiere N, Tarel J-P, Aubert D, Dumont E (2008) Blind contrast restoration assessment by gradient radioing at visible edges. In Proc Int Congr Stereology 27(2):87–95
9. He K, Sun J, Tang X (2011) Single image haze removal using dark channel prior. IEEE Trans Pattern Anal Mach Intell 33(12):2341–2353
10. Kim J, Jang W, Sim J, Kim C (2013) Optimized contrast enhancement for real-time image and video dehazing. J Vis Commun Image Representation 24:410–425
11. Koschmieder H (1925) Theorie der horizontalen sichtweite: kontrast und sichtweite. Keim Nemnich Press 2:1–11
12. Liang J, Ren L, Ju H, Qu E, Wang Y (2014) Visibility enhancement of haze images based on a universal polarimetric imaging method. J Appl Phys 116(17):1731071–1731077
13. Mantiuk R, Kim KJ, Rempel AG, Heidrich W (2011) HDR-VDP2: a calibrated visual metric for visibility and quality predictions in all luminance conditions. ACM Trans Graph 30(4):40–52
14. Narasimhan S, Nayar S (2003) Contrast restoration of weather degraded images. IEEE Trans Pattern Anal Mach Intell 25(6):713–724
15. Schechner Y, Karpel N (2005) Recovery of underwater visibility and structure by polarization analysis. IEEE J Ocean Eng 30(3):570–587
16. Schechner Y, Narasimhan S, Nayar S (2001) “Instant dehazing of images using polarization”, in: proc. of computer vision and. Pattern Recogn 1:325–332
17. Schettini R, Corchs S (2010) Underwater image processing: state of the art of restoration and image enhancement methods. EURASIP J Adv Signal Process 746052
18. Serikawa S, Lu H (2014) Underwater image dehazing using joint trilateral filter. Comput Electr Eng 40(1):41–50
19. R.T. Tan, “Visibility in bad weather from a single image”, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp.1–8, 2008.
20. J. Tarel, N. Hautiere, “Fast visibility restoration from a single color or gray level image”, in Proc. of the IEEE International Conference on Computer Vision, pp. 2201–2208, 2009.
21. Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600–612
22. S. Yao, W. Lin, E. Ong, Z. Lu, “Contrast signal to noise ratio for image quality assessment”, in Proc. of International Conference on Image Processing, pp. 397–400, 2005.