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Reversible Image Steganography for Color Image Quantization Based on Lossless Index Coding

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Security with Intelligent Computing and Big-data Services (SICBS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 733))

Abstract

In this paper, we proposed a joint lossless index coding and data hiding technique for the palette images. The palette image is the compressed image of the color image quantization technique. The compressed codes of the palette image consist of the index table and the color palette. In the proposed technique, a three-category lossless index coding method is employed. The secret data is embedded into the encoded index table during the index coding process is executed. From the results, it is shown that good hiding capacity is obtained in the proposed technique while keeping a good bit rate.

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Acknowledgments

This research was supported by the National Science Council, Taipei, R.O.C. under contract MOST 106-2221-E-324-006-MY2, MOST 106-2410-H-126-006-MY2 and MOST 103-2410-H-126-009-MY3.

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Correspondence to Yu-Chen Hu .

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Hu, YC., Lee, CF., Liu, YH. (2018). Reversible Image Steganography for Color Image Quantization Based on Lossless Index Coding. In: Peng, SL., Wang, SJ., Balas, V., Zhao, M. (eds) Security with Intelligent Computing and Big-data Services. SICBS 2017. Advances in Intelligent Systems and Computing, vol 733. Springer, Cham. https://doi.org/10.1007/978-3-319-76451-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-76451-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76450-4

  • Online ISBN: 978-3-319-76451-1

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