A Novel Un-compressed Video Watermarking in Wavelet Domain Using Fuzzy Inference System

  • Bhavna GoelEmail author
  • Charu Agarwal
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 28)


In this paper, human visual system (HVS) characteristics are modeled using Mamdani fuzzy inference system (FIS) for robust un-compressed video watermarking technique in discrete wavelet transform (DWT) domain. The video sequence is decomposed into frames and converted into YCbCr color space. Two HVS characteristics namely edge sensitivity and contrast sensitivity are computed for each luminance component (Y) of the frame. These two computed values are fed as input to the FIS. The output of the FIS is a weighting factor which is used to embed the watermark into the frame. For embedding purpose a binary watermark is embedded into the LL3 sub-band coefficients of the video sequence. To study the robustness of proposed scheme various video processing attacks are performed. Experimental results show that proposed video watermarking scheme is highly robust and obtain good perceptual quality.


Digital video watermarking DWT FIS HVS 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Ajay Kumar Garg Engineering CollegeGhaziabadIndia

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