A fast semi-inverse approach to detect and remove the haze from a single image

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6493 LNCS, Issue PART 2, 2011, Pages 501-514

  Ancuti, Codruta O ^a   Ancuti, Cosmin ^a,b   Hermans, Chris ^a   Bekaert, Philippe ^a  

^a HASSELT UNIVERSITY   (Belgium)

^b POLITEHNICA UNIVERSITY OF TIMISOARA   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC PHENOMENA; COMPARATIVE EVALUATIONS; INVERSE APPROACH; LARGE DATA; ORIGINAL IMAGES; SINGLE IMAGES; STRUCTURAL CHANGE;

ALGORITHMS; DEMULSIFICATION; PIXELS;

COMPUTER VISION;

EID: 79952502260     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19309-5_39     Document Type: Conference Paper

References (20)

1. Fattal, R.: Single image dehazing. ACM Transactions on Graphics, SIGGRAPH (2008)
2. Tan R.T. Visibility in bad weather from a single image. IEEE Conference on Computer Vision and Pattern Recognition (2008).
3. He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. In: IEEE Conference on Computer Vision and Pattern Recognition (2009)
4. Tarel, J.P., Hautiere, N.: Fast visibility restoration from a single color or gray level image. In: IEEE International Conference on Computer Vision (2009)
5. Kratz, L., Nishino, K.: Factorizing scene albedo and depth from a single foggy image. In: IEEE International Conference on Computer Vision (2009)
6. Chavez, P.: An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment (1988)
7. Moro, G.D., Halounova, L.: Haze removal and data calibration for high-resolution satellite data. Int. Journal of Remote Sensing (2006)
8. Narasimhan, S., Nayar, S.: Chromatic Framework for Vision in Bad Weather. In: IEEE Conference on Computer Vision and Pattern Recognition (2000)
9. Narasimhan, S., Nayar, S.: Contrast Restoration of Weather Degraded Images. IEEE Trans. on Pattern Analysis and Machine Intell. (2003)
10. Schaul, L., Fredembach, C., Ssstrunk, S.: Color image dehazing using the nearinfrared. In: IEEE Int. Conf. on Image Processing (2009)
11. Treibitz, T., Schechner, Y.Y.: Polarization: Beneficial for visibility enhancement? In: IEEE Conference on Computer Vision and Pattern Recognition (2009)
12. Shwartz, S., Namer, E., Schechner, Y.: Blind haze separation. In: IEEE Conference on Computer Vision and Pattern Recognition (2006)
13. Namer, E., Shwartz, S., Schechner, Y.: Skyless polarimetric calibration and visibility enhancement. Optic Express, 472-493 (2009)
14. Narasimhan, S., Nayar, S.: Interactive de-wheathering of an image using physical models. In: ICCV Workshop CPMVC (2003)
15. Kopf, J., Neubert, B., Chen, B., Cohen, M., Cohen-Or, D., Deussen, O., Uyttendaele, M., Lischinski, D.: Deep photo-Model-based photograph enhancement and viewing. ACM Transactions on Graphics (2008)
16. Koschmieder, H.: Theorie der horizontalen sichtweite. In: Beitrage zur Physik der freien Atmosphare (1924)
17. Tao, L., Yuan, L., Sun, J.: SkyFinder: Attribute-based Sky Image Search. ACM Transactions on Graphics, SIGGRAPH (2009)
18. Henry, R.C., Mahadev, S., Urquijo, S., Chitwood, D.: Color perception through atmospheric haze. Opt. Soc. Amer. A 17, 831-835 (2000)
19. Hautiere, N., Tarel, J.P., Aubert, D., Dumont, E.: Blind contrast enhancement assessment by gradient ratioing at visible edges. Img. Anal. and Stereology (2008)
20. Aydin, T.O., Mantiuk, R., Myszkowski, K., Seidel, H.S.: Dynamic range independent image quality assessment. In: ACM Trans. Graph., SIGGRAPH (2008)