Title
Robust dual watermarking algorithm for AVS video
Abstract
In this paper, we propose a robust dual watermarking algorithm for video based on the audio video coding standard (AVS). One watermark is embedded in luminance components, whose embedding positions are optimized using the particle swarm optimization (PSO) technique, resisting common signal processing operations such as median filtering, adding noises, cropping and so on. To combat geometric and re-encoding attacks, the other watermark is embedded in chrominance components by adjusting the energy relationship between Cb and Cr components based on the just noticeable distortion (JND) concept of the human vision system (HVS). Both of them are implemented in the compressed domain by modifying the quantized coefficients, combined together to satisfy the requirements of robustness and imperceptibility. Only entropy decoding is required to detect the watermark, and thus the watermark detection process has low computational complexity. Extensive experimental results show that the high robustness and good quality of watermarked AVS video can be achieved simultaneously.
Year
DOI
Venue
2009
10.1016/j.image.2009.03.004
Sig. Proc.: Image Comm.
Keywords
Field
DocType
entropy decoding,common signal processing operation,audio video,embedding position,watermark detection process,high robustness,energy relationship,cr component,chrominance component,robust dual watermarking algorithm,watermarked avs video,signal processing,median filter,particle swarm optimization,satisfiability,computational complexity
Computer vision,Digital watermarking,Median filter,Computer science,Chrominance,Filter (signal processing),Algorithm,Robustness (computer science),Watermark,Artificial intelligence,Decoding methods,Audio signal processing
Journal
Volume
Issue
ISSN
24
4
Signal Processing: Image Communication
Citations 
PageRank 
References 
6
0.51
19
Authors
4
Name
Order
Citations
PageRank
Yuangen Wang1726.57
Lu Zhe-Ming263572.85
Liang Fan3547.12
Yun Zheng45911.91