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Adaptive Preprocessing Scheme Using Rank for Lossless Indexed Image Compression

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Advances in Intelligent Computing (ICIC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3644))

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Abstract

This paper proposes a brand-new preprocessing scheme using the ranking of co-occurrence count about indices in neighboring pixels. Original indices in an index image are substituted by their ranks. Arithmetic coding, then, is followed. Using this proposed algorithm, a better compression efficiency can be expected with higher data redundancy because the indices of the most pixels are concentrated to the relatively few rank numbers. Experimental results show that the proposed algorithm achieves a better compression performance up to 26–48% over GIF, arithmetic coding and Zeng’s scheme.

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References

  1. Murray, D., van Ryper, W.: Graphics File Formats. O’Reilly & Associates, Inc., California (1996)

    Google Scholar 

  2. Kangsoo, Y., Hangjeong, L., Eueesun, J., Hoonsung, K.: An Efficient Lossless Compression Algorithm using Arithmetic Coding for Indexed Color Image. The Korean Institute of Communication Sciences 30(1C), 35–43 (2005)

    Google Scholar 

  3. Zaccarin, A., Liu, B.: A novel approach for coding color quantized images. IEEE Tran. Image Proc. 2(4), 442–453 (1996)

    Article  Google Scholar 

  4. Memon, N., Venkateswaran, A.: On ordering color maps for lossless predictive coding. IEEE Tran. Image Proc. 5(11), 1522–1527 (1996)

    Article  Google Scholar 

  5. Zeng, W., Li, J., Lei, S.: An efficient color re-indexing scheme for palette-based compression. In: Proc. of the 7th Conf. on Image Processing, pp. 476–479 (2000)

    Google Scholar 

  6. Pinho Armando, J., Neves Antonio, J.R.: A note on Zeng’s technique for color reindexing of palette-based images. IEEE Signal Processing Letters 11(2), 232–234 (2004)

    Article  Google Scholar 

  7. Crane, R.: A Simplified Approach to Image Processing. Prentice Hall, New Sersey (1997)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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You, KS., Park, TY., Jang, E.S., Kwak, HS. (2005). Adaptive Preprocessing Scheme Using Rank for Lossless Indexed Image Compression. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_21

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  • DOI: https://doi.org/10.1007/11538059_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28226-6

  • Online ISBN: 978-3-540-31902-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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