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Steganographic Image Hiding Schemes Based on Edge Detection

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Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2017)

Abstract

In 2010, Chen et al. proposed a steganography mechanism using a hybrid edge detector. The hybrid edge detector is combining the Canny and the fuzzy edge detectors. However, although this method has a high embedding payload (2.10 bpp) it is an irreversible data hiding scheme. A considerable amount of research has since been conducted to provide an improved method of data hiding that removes LSBs of the image pixel value and performs edge detection. This increases the payload as it is not necessary to store edge information in the stego image. This paper conducts a comprehensive study of irreversible and reversible data hiding based on the image texture data hiding method, and compares embedding capacities and visual image qualities.

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References

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Acknowledgements

This research was partially supported by the Ministry of Science and Technology of the Republic of China under the Grants MOST 105-2221-E-324-014.

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Correspondence to Jau-Ji Shen .

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Lee, CF., Shen, JJ., Chen, ZR. (2018). Steganographic Image Hiding Schemes Based on Edge Detection. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-319-63856-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-63856-0_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63855-3

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