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A Difference Expansion Based Reversible Data Hiding Algorithm Using Edge-Oriented Prediction

초록

영어

In this paper, a difference expansion based reversible data hiding approach which achieves the low distortion requirement under the same embedding capacity is proposed. An edge-oriented prediction method and a modified overflow/underflow prevention method are proposed to achieve the requirement. For each pixel, the prediction method uses edge information to get a better predicted value in an attempt to reduce the image distortion. Experimental results have demonstrated that the proposed reversible data hiding method yields lower distortion than several well-known expansion-based reversible data hiding methods.

목차

Abstract
 1. Introduction
 2. Proposed Edge-oriented Prediction-based Reversible Data Hiding Method (EPRDD)
  2.1. Embedding Procedure
  2.2. Embedded Data Extraction and Original Image Recovering
  2.3. Prevention of Overflow/Underflow Problem
 3. Experimental Results
  3.1. Comparison of Prediction Error for Different Threshold Te
  3.2. Comparison of the Proposed Edge-Oriented Predictors with Different Predictors
  3.3. Image Quality and Embedding Capacity
 4. Conclusion
 Acknowledgements
 References

저자정보

  • Wen-Chao Yang Department of Computer Science, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, Taiwan, 300, R.O.C.
  • Ling-Hwei Chen Department of Computer Science, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, Taiwan, 300, R.O.C
  • Chang-Hsing Lee Department of Computer Science and Information Engineering, Chung Hua University, 707, Sec.2, WuFu Rd., Hsinchu, Taiwan 30012, R.O.C.

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