Journal of Northeastern University Natural Science ›› 2020, Vol. 41 ›› Issue (3): 316-321.DOI: 10.12068/j.issn.1005-3026.2020.03.003

• Information & Control • Previous Articles     Next Articles

Reversible Data Hiding Algorithm Based on Adaptive Histogram Modification for 3D Mesh Models

ZHANG Qi-long1, WEN Tao1,2, SONG Xiao-ying2, SUN Wei2   

  1. 1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China;2. Key Laboratory of Network Security and Computing Technology, Dalian Neusoft University of Information, Dalian 116023, China.
  • Received:2019-02-27 Revised:2019-02-27 Online:2020-03-15 Published:2020-04-10
  • Contact: SONG Xiao-ying
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Abstract: Reversible data hiding, as a special information hiding technology, is very useful in many fields, such as medicine, military and law. This paper proposes a reversible data hiding algorithm based on adaptive histogram modification for 3D mesh models. At first, the local similarity of model shapes is used to predict vertex positions in order to obtain the prediction error sequence with a steep histogram. Then, according to the distribution characteristics of the prediction error histogram, two groups of prediction errors are specified in embedding region for data embedding,which reduce the auxiliary date transfer. In addition, to reduce the model distortion, proper embedding regions are selected based on the payload size to avoid moving more prediction errors. The experimental results demonstrate that the proposed algorithm maintains high visual quality after data embedding and is applicable to low-capacity reversible data hiding.

Key words: histogram modification, prediction error, shifting, 3D mesh models, reversible data hiding

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