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A Novel Image Dehazing Algorithm Based on Area Weight of NAM Blocks

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1075))

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Abstract

In this paper, we propose a single image dehazing algorithm based on the atmospheric scattering model and the area weight of the Non-symmetry and Anti-packing Representation Model (NAM) blocks. The image is segmented using the NAM method, and the area weight of the sub-block is used to calculate the atmospheric light. The boundary constraint and the context regularization are then used to estimate the scene transmission. Finally, the image is defogged according to the atmospheric scattering model formula. The experimental results show that our proposed method can achieve image defogging in most cases and achieve better defogging effect.

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References

  1. McCartney, E.J.: Optics of the Atmosphere: Scattering by Molecules and Particles. Wiley, New York (1976)

    Google Scholar 

  2. Fattal, R.: Single image dehazing. ACM Trans. Graph. 27(3), 1–9 (2008)

    Article  Google Scholar 

  3. Tan, R.T.: Visibility in bad weather from a single image. In: Computer Vision and Pattern Recognition, pp. 1–8. IEEE Computer Society, Alaska (2008)

    Google Scholar 

  4. He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1–4 (2009)

    Google Scholar 

  5. He, K., Sun, J., Tang, X.: Guided image filtering. IEEE Trans. Pattern Anal. Mach. Intell. 35(6), 1397–1409 (2013)

    Article  Google Scholar 

  6. Tarel, J.P., Hautière, N.: Fast visibility restoration from a single color or gray level image. In: IEEE International Conference on Computer Vision, pp. 2201–2208. IEEE Press, Washington (2010)

    Google Scholar 

  7. Meng, G., Wang, Y., Duan, J., Xiang, S., Pan, C.: Efficient image dehazing with boundary constraint and contextual regularization. In: Proceedings of 2013 IEEE International Conference on Computer Vision, Sydney, NSW, pp. 617–624 (2013)

    Google Scholar 

  8. Baig, N., Riaz, M.M., Ghafoor, A., Siddiqui, A.M.: Image dehazing using quadtree decomposition and entropy-based contextual regularization. IEEE Signal Process. Lett. 23(6), 853–857 (2016)

    Article  Google Scholar 

  9. Strobach, P.: Quadtree-structured recursive plane decomposition coding of images. IEEE Trans. Signal Process. 39(6), 1380–1397 (1991)

    Article  Google Scholar 

  10. Park, D., Park, H., Han, D.K., Ko, H.: Single image dehazing with image entropy and information fidelity. In: Proceedins of IEEE International Conference on Image Processing (ICIP), pp. 4037–4041 (2014)

    Google Scholar 

  11. Zheng, Y., Xie, Z., Cai, C.: Single image dehazing using non-symmetry and anti-packing model based decomposition and contextual regularization. In: 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, pp. 621–625 (2017)

    Google Scholar 

  12. Zuo, C., Jovanov, L., Goossens, B., Luong, H.Q., Philips, W., Liu, Y., Zhang, M.: Image denoising using quadtree-based nonlocal means with locally adaptive principal component analysis. IEEE Signal Process. Lett. 23(4), 434–438 (2016)

    Article  Google Scholar 

  13. Zheng, Y., Sarem, M.: A novel binary image representation algorithm by using NAM and coordinate encoding procedure and its application to area calculation. Front. Comput. Sci. 8(5), 763–772 (2014)

    Article  MathSciNet  Google Scholar 

  14. Zheng, Y., Sarem, M.: A fast region segmentation algorithm on compressed gray images using non-symmetry and anti-packing model and extended shading representation. J. Vis. Commun. Image Represent. 34, 153–166 (2016)

    Article  Google Scholar 

  15. Chen, Y., Li, Z., Bhanu, B., Tang, D., Peng, Q., Zhang, Q.: Improve transmission by designing filters for image dehazing. In: IEEE 3rd International Conference on Image, Vision and Computing (ICIVC), pp. 374–378 (2018)

    Google Scholar 

Download references

Acknowledgment

This work is supported by the National Natural Science Foundation of China under Grant No. 61300134, the Research Fund for the Doctoral Program of Higher Education of China under Grant No. 20120172120036, the Natural Science Foundation of Guangdong Province of China under Grant No. S2011040005815, No. S2013010012515, No. 2015A030313206, and No. 2017A030313349, the Fundamental Research Funds for the Central Universities of China under Grant No. 2015ZM133, the Chinese National Scholarship Fund under Grant No. 201406155015, and the Undergraduate Innovative and Entrepreneurial Training Program of Guangdong Province of China under Grant No. S201910561235.

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Authors and Affiliations

  1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, Guangdong, China

    Yunping Zheng & Jiechan Qin

Authors
  1. Yunping Zheng
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  2. Jiechan Qin
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Corresponding author

Correspondence to Yunping Zheng .

Editor information

Editors and Affiliations

  1. The University of Aizu, Aizuwakamatsu, Japan

    Yong Liu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

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Zheng, Y., Qin, J. (2020). A Novel Image Dehazing Algorithm Based on Area Weight of NAM Blocks. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_78

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