Large-capacity digital fingerprint system embedding algorithm
|School||Huazhong University of Science and Technology|
|Course||Applied Computer Technology|
|Keywords||High capacity Airspace Real-time Discrete Fourier Transform Robustness|
With the development of multimedia technology and the growing popularity of Internet , digital multimedia become widely welcomed by the people 's work and entertainment content for the people to enjoy digital life and work to bring convenient , easy to copy and distribute digital works also gives copyright protection zone to a huge challenge , determination and lack of effective copyright pirates tracking mechanism , making more and more creators and not inclined to disclose their works, this is bound to affect the development of digital and multimedia wider range of applications . Digital fingerprint technology, a branch as a digital watermark , is mainly used for tracing the source of pirated works , in recent years become a research hotspot. Now the majority of digital fingerprinting based on theoretical research , users can accommodate smaller capacity , however , with the application users fingerprint and video fingerprints expanding needs of applications , the system fingerprint algorithm requirements are gradually increased , such as robustness , anti- collusion capabilities and real-time processing , etc., these are the current research problems. The traditional embedded policy only able unilaterally to ensure the robustness or real-time. Large-capacity digital fingerprint embedding strategy both made requests. Therefore, the size of the bulk users , researchers a way to meet the needs of embedded application strategy is very necessary . In order to reduce the computational complexity, this paper presents a robust digital fingerprint real time airspace embedding algorithm . First, the fingerprint into a template, and then superimposed on the way through the template embedded digital fingerprints. Embedding process versatility, can be applied to any format video and images. Although the spatial superposition of embedding fingerprints but the algorithm is essentially equivalent to the DFT (Discrete Fourier Transform ) domain embedded watermark, so robust fingerprint can be guaranteed. With traditional transform domain algorithms , the proposed algorithm is not the embedded carrier ( video frame or image ) is converted , so time is very good . Experiments further validate the real-time processing of the algorithm and robustness on the edge.