The Research About Audio Digital Watermarking Based On Self-adaptive Algorithm

With the development of digital multimedia and networks technology, multimedia digital work is easier to be composed, storaged and transmitted. This especially can be embodied in the wide spread of MP3 music in the Internet. However, unscrupulously duplicating and spreading pirate music work or distorting the content with copyright make the benefit of the work owners and issuers damaged greatly. Therefore, the copyright protection and information security in the network become more and more important. Traditional encryption techniques, which can only provide limited extent of protections, are insufficient in security and in communication. Digital watermarking technology, considered as a potential solution, has brought the cause to the attention of the world and is becoming an international academic focus.This dissertation focuses on research on research on watermarking algorithms of digital audio.the main content includes:(1) Through introduce fuzzy clustering theory, a new adaptive digital audio watermarking algorithm based on FCM is presented in this paper, the watermarking can be embedded into the low frequency and the middle frequency components of DWT domain select by the FCM analyzing according to the local audio correlation. so the watermarking is robust.(2) A novel digital audio data hiding scheme using perceptual masking is presented. Through scrambling using game of life and DWT, using the auditory masking property and MPEG-2 auditory model, the method calculates the watermarking power in per-frame. According to the self-change characteristic of the audio signal, this adaptive embedded watermarking model can adjusted the embed intensity dynamically and improve the whole watermarking power without losing auditory quality.