Steganographic Image Hiding Schemes Based on Edge Detection

  • Chin-Feng Lee
  • Jau-Ji ShenEmail author
  • Zhao-Ru Chen
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 81)


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.


Data hiding Irreversible data hiding Reversible data hiding Edge detector technique 



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.


  1. 1.
    Chen, W.J., Chang, C.C., Le, T.H.N.: High payload steganography mechanism using hybrid edge detector. Expert Syst. Appl. 37(4), 3292–3301 (2010)CrossRefGoogle Scholar
  2. 2.
    Lee, C.F., Chang, C.C., Tsou, P.L.: Data hiding scheme with high embedding capacity and good visual quality based on edge detection. In: 2010 Fourth International Conference on Genetic and Evolutionary Computing (ICGEC), pp. 654–657. IEEE (2010)Google Scholar
  3. 3.
    Bai, J., Chang, C.C., Nguyen, T.S., Zhu, C., Liu, Y.: A high payload steganographic algorithm based on edge detection. Displays 46, 42–51 (2016)CrossRefGoogle Scholar
  4. 4.
    Hong, W., Chen, T.S.: Reversible data embedding for high quality images using interpolation and reference pixel distribution mechanism. J. Vis. Commun. Image Represent. 22(2), 131–140 (2011)CrossRefGoogle Scholar
  5. 5.
    Kang, C.C., Wang, W.J.: A novel edge detection method based on the maximizing objective function. Pattern Recogn. 40(2), 609–618 (2007)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Information ManagementChaoyang University of TechnologyTaichungTaiwan
  2. 2.Department of Management Information SystemsNational Chung Hsing UniversityTaichungTaiwan

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