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Data Hiding in Neural Network Prediction Errors

  • Guangjie Liu
  • Jinwei Wang
  • Shiguo Lian
  • Yuewei Dai
  • Zhiquan Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)

Abstract

In this paper, a new and efficient image hiding scheme is proposed. Different from the existing methods, the secret data is embedded into the prediction errors produced by the neural network nonlinear predictor, and the non-uniform quantization method is used to embed secret data. The proposed method can achieve higher embedding payload while keeping smaller distortion, and experimental results are given to show the advantage of this scheme.

Keywords

Prediction Error Cover Image Secret Data Data Hiding Stego Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Guangjie Liu
    • 1
  • Jinwei Wang
    • 1
  • Shiguo Lian
    • 2
  • Yuewei Dai
    • 1
  • Zhiquan Wang
    • 1
  1. 1.Department of AutomationNanjing University of Science & TechnologyNanjingChina
  2. 2.Beijing R&D CenterFrance TelecomBeijingChina

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