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Local albedo-insensitive single image dehazing

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Abstract

In this paper, we present a new algorithm to remove haze from a single image. The proposed algorithm extracts transmission iteratively under the assumption that large-scale chromaticity variations are due to transmission while small-scale luminance variations are due to scene albedo. A nonlinear edge-preserving filter is introduced to incrementally refine subtle transmission map while still keeping sharp transmission map distinct. The algorithm is verified by both synthetic images and real-scene photographs. The results demonstrate that our method can produce transmission maps without being affected by the local albedo variations and, furthermore, recover haze-free images. On top of haze removal, several applications of the transmission map including refocusing and relighting are also implemented.

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References

  1. Aleksic, M., Smirnov, M., Goma, S.: Novel bilateral filter approach: Image noise reduction with sharpening. In: Proceedings of SPIE—The International Society for Optical Engineering, vol. 6069, pp. 114–241. San Jose, CA, United States (2006). doi:10.1117/12.643880

  2. Aurich, V., Weule, J.: Non-linear Gaussian filters performing edge preserving diffusion. In: Mustererkennung 1995, 17. DAGM-Symposium, pp. 538–545. Springer, London (1995)

    Google Scholar 

  3. Barash, D., Comaniciu, D.: A common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and mean shift. Image Vis. Comput. 22(1), 73–81 (2004). doi:10.1016/j.imavis.2003.08.005

    Article  Google Scholar 

  4. Bennett, E.P., McMillan, L.: Video enhancement using per-pixel virtual exposures. ACM Trans. Graph. 24, 845–852 (2005). doi:10.1145/1073204.1073272

    Article  Google Scholar 

  5. Durand, F., Dorsey, J.: Fast bilateral filtering for the display of high-dynamic-range images. ACM Trans. Graph. 21, 257–266 (2002). doi:10.1145/566654.566574

    Google Scholar 

  6. Eisemann, E., Durand, F.: Flash photography enhancement via intrinsic relighting. ACM Trans. Graph. 23, 673–678 (2004)

    Article  Google Scholar 

  7. Elad, M.: On the origin of the bilateral filter and ways to improve it. IEEE Trans. Image Process. 11(10), 1141–1151 (2002). doi:10.1109/TIP.2002.801126

    Article  MathSciNet  Google Scholar 

  8. Fattal, R.: Single image dehazing. ACM Trans. Graph. 27(3), 1–9 (2008). doi:10.1145/1360612.1360671

    Article  Google Scholar 

  9. He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. In: 27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, pp. 1956–1963 (2009)

  10. 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 Trans. Graph. 27(5) (2008)

  11. Koschmeider, H.: Theorie der horizontalen sichtweite. Beitr. zur Phys. d. freien Atm. 171–181 (1924)

  12. Kratz, L., Nishino, K.: Factorizing scene albedo and depth from a single foggy image. In: Proceedings of IEEE Twelfth International Conference on Computer Vision ICCV’09, pp. 1701–1708 (2009)

  13. Liu, C., Freeman, W.T., Szeliski, R., Kang, S.B.: Noise estimation from a single image. In: Proceedings – 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006, vol. 1, pp. 901–908. New York, NY, USA (2006). doi:10.1109/CVPR.2006.207

  14. Narasimhan, S.G., Nayar, S.: Interactive deweathering of an image using physical models. In: IEEE Workshop on Color and Photometric Methods in Computer Vision, In Conjunction with ICCV (2003)

  15. Narasimhan, S.G., Nayar, S.K.: Chromatic framework for vision in bad weather. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 598–605. Hilton Head Island, SC, USA (2000)

  16. Nayar, S.K., Narasimhan, S.G.: Vision in bad weather. In: Proceedings of the IEEE International Conference on Computer Vision, vol. 2, pp. 820–827. Kerkyra, Greece (1999)

  17. Oh, B.M., Chen, M., Dorsey, J., Durand, F.: Image-based modelling and photo editing. pp. 433–442. Los Angeles, CA, USA (2001)

  18. Paris, S., Durand, F.: A fast approximation of the bilateral filter using a signal processing approach. Int. J. Comput. Vis. 81(1), 24–52 (2009). doi:10.1007/s11263-007-0110-8

    Article  Google Scholar 

  19. Schechner, Y.Y., Narasimhan, S.G., Nayar, S.K.: Instant dehazing of images using polarization. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 1325–1332. Kauai, HI, United States (2001). ISSN 10636919

    Google Scholar 

  20. Tan, R.T.: Visibility in bad weather from a single image. In: 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. Anchorage, AK, USA (2008). doi:10.1109/CVPR.2008.4587643

  21. Tarel, J.P., Hautière, N.: Fast visibility restoration from a single color or gray level image. In: Proceedings of IEEE International Conference on Computer Vision (ICCV’09), pp. 2201–2208. Kyoto, Japan (2009)

  22. Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: Proceedings of the 1998 IEEE 6th International Conference on Computer Vision, 4–7 January 1998, pp. 839–846. IEEE, Bombay, India (1998)

  23. Winnemoller, H., Olsen, S.C., Gooch, B.: Real-time video abstraction. ACM Trans. Graph. 25, 1221–1226 (2006). doi:10.1145/1141911.1142018

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Computer Science and Technology, Tianjin University, Tianjin, China

    Jiawan Zhang, Liang Li, Guoqiang Yang, Yi Zhang & Jizhou Sun

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  1. Jiawan Zhang
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  2. Liang Li
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  3. Guoqiang Yang
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  4. Yi Zhang
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  5. Jizhou Sun
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Correspondence to Jiawan Zhang.

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Zhang, J., Li, L., Yang, G. et al. Local albedo-insensitive single image dehazing. Vis Comput 26, 761–768 (2010). https://doi.org/10.1007/s00371-010-0444-z

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