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Fast and Effective Interpolation Using Median Filter

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Advances in Multimedia Information Processing - PCM 2009 (PCM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5879))

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Abstract

This paper proposes a fast and effective image interpolation algorithm using median filter. The interpolation algorithm is composed of two steps. First, a non-linear iterative procedure is utilized to interpolate the pixel whose direction can be easily determined by local information. Second, according to the introduced assumption that image interpolation can be regarded as a local image filtering process, the remaining pixels are interpolated by the proposed fast median filter method. Experimental results show that the proposed algorithm provides better performance than traditional techniques (e.g. bilinear interpolation, bicubic interpolation) both in subjective quality and objective quality with similar complexity. In particular, the proposed method is comparable to the well-known NEDI algorithm in visual quality, however, with much lower computational complexity. Therefore, the proposed algorithm can be exploited for real-time applications due to the merits of low computational complexity and good image quality.

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References

  1. Li, X., Orchard, M.T.: New edge-directed interpolation. IEEE Trans. on Image Processing 10(10), 1521–1527 (2001)

    Article  Google Scholar 

  2. Wang, Q., Ward, R.K.: A New Orientation-Adaptive Interpolation Method. IEEE Trans. on Image Processing 16(4), 889–900 (2007)

    Article  MathSciNet  Google Scholar 

  3. Zhang, L., Wu, X.: An Edge-Guided Image Interpolation Algorithm via Directional Filtering and Data Fusion. IEEE Trans. on Image Processing 15(8), 2226–2238 (2006)

    Article  Google Scholar 

  4. Yang, S., Kim, Y., Jeong, J.: Fine edge-preserving technique for display devices. IEEE Trans. on Consumer Electronics 54(4), 1761–1769 (2008)

    Article  Google Scholar 

  5. Cha, Y., Kim, S.: The Error-Amended Sharp Edge (EASE) Scheme for Image Zooming. IEEE Trans. on Image Processing 16(6), 1496–1505 (2007)

    Article  MathSciNet  Google Scholar 

  6. Battiato, S., Gallo, G., Stanco, F.: A locally adaptive zooming algorithm for digital images. Image and Vision Computing 20(11), 805–812 (2002)

    Article  Google Scholar 

  7. Chen, M., Huang, C., Lee, W.: A fast edge-oriented algorithm for image interpolation. Image and Vision Computing 23(9), 791–798 (2005)

    Article  Google Scholar 

  8. Pitas, I., Venetsanopoulos, A.N.: Nonlinear Digital Filters: Principles and Applications. Kluwer, Norwell (1990)

    MATH  Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Zhang, J., Ma, S., Zhang, Y., Zhao, D. (2009). Fast and Effective Interpolation Using Median Filter. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_119

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  • DOI: https://doi.org/10.1007/978-3-642-10467-1_119

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10466-4

  • Online ISBN: 978-3-642-10467-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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