Robust information hiding in low-resolution videos with quantization index modulation in DCT-CS domain

Huimin Zhao, Qingyun Dai, J. C. Ren, Wenguo Wei, Yinyin Xiao, Chunying Li

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Abstract

Video information hiding and transmission over noisy channels leads to errors on video and degradation of the visual quality notably. In this paper, a video signal fusion scheme is proposed to combine sensed host signal and the hidden signal with quantization index modulation (QIM) technology in the compressive sensing (CS) and discrete cosine transform (DCT) domain. With quantization based signal fusion, a realistic solution is provided to the receiver, which can improve the reconstruction video quality without requiring significant extra channel resource. The extensive experiments have shown that the proposed scheme can effectively achieve the better trade-off between robustness and statistical invisibility for video information hiding communication. This will be extremely important for low-resolution video analytics and protection in big data era.

Original languageEnglish
Pages (from-to)1-21
Number of pages21
JournalMultimedia Tools and Applications
Early online date27 Sep 2017
DOIs
Publication statusE-pub ahead of print - 27 Sep 2017

Keywords

  • compressive sensing
  • image fusion
  • quantization index modulation
  • statistical transparency
  • video information hiding

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