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Hardware Architecture of Bilateral Filter to Remove Haze

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 265))

Abstract

In this paper, we propose the hardware architecture of bilateral filter that can smooth image while preserving edges for the real-time image processing. Bilateral filter is nonlinear combination of nearby image values. As the time complexity of bilateral filter is O (total pixel size ∗ filter kernel size 2), the real-time processing is difficult. We reduce the time complexity of bilateral filter using parallel architecture to achieve real-time performance.

This research was supported by the MKE(The Ministry of Knowledge Economy), Korea, under the CITRC(Convergence Information Technology Research Center) support program (NIPA-2011-C6150-1102-0011) supervised by the NIPA(National IT Industry Promotion Agency).

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References

  1. Levin, A., Lischinski, D., Weiss, Y.: A closed form solution to natural image matting. In: CVPR, vol. 1, pp. 61–68 (2006)

    Google Scholar 

  2. He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. In: VPR, pp. 1956–1963 (2009)

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  3. Sun, K., Wang, B., Zheng, Z.: Fast Single Image Dehazing Using Iterative Bilateral Filter. IEEE, 978-1-4244-7941-2 (2010)

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  4. Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: ICCV, pp. 839–846 (1998)

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  5. Lee, J.-D., Kim, J.-S., Lee, J.-H., Kwon, S., Moon, B.-I., Lee, Y.-H.: Design of sun of Absolute Differences Based on Shifting Window 14(1), 825–827 (2010)

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© 2011 Springer-Verlag Berlin Heidelberg

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Kim, EK., Lee, JD., Moon, B., Lee, YH. (2011). Hardware Architecture of Bilateral Filter to Remove Haze. In: Kim, Th., et al. Communication and Networking. FGCN 2011. Communications in Computer and Information Science, vol 265. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27192-2_17

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  • DOI: https://doi.org/10.1007/978-3-642-27192-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27191-5

  • Online ISBN: 978-3-642-27192-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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