Self-adaptive audio blind watermark method based on auditory model

Abstract

The invention provides a self-adaptive audio blind watermark method based on an auditory model. Arnold transformation, dimension reduction processing and chaotic transformation are performed on a watermark signal so that watermark information is obtained; a human ear auditory masking threshold is calculated; a watermark embedding segment and an embedding position are self-adaptively selected; embedding of a digital watermark is performed; audio segment recombination is performed, and all the audio segments without embedding of the watermark and the audio segments with embedding of the watermark are recombined so that audio signals containing all the watermarks are formed; and the digital watermark is extracted. The watermark information of large energy is embedded under the premise that the watermark signal does not influence the audio quality so that self-adaptive selection of the watermark embedding segment, the watermark embedding position and the watermark embedding strength can be realized, the imperceptibility of the algorithm can be guaranteed and the watermark robustness and the watermark embedding capacity can be enhanced. The human ear auditory characteristic can be utilized in a more detailed way so that the method has better hiding performance, the security of the watermark can be further guaranteed and the attack of common signal processing can be effectively resisted.

Description

technical field [0001] The present invention relates to the field of information hiding. In particular, it relates to an adaptive audio blind watermarking method based on an auditory model for copyright management of audio works. Background technique [0002] The rapid development of information technology and computer networks has caused a series of information security issues, piracy issues, etc., making copyright protection and content authentication of multimedia content an urgent problem to be solved. As an effective solution, digital watermarking has developed rapidly and has become a research hotspot in the academic circle. Due to the higher sensitivity of the human ear, audio watermarking is more challenging than video and image watermarking. Audio watermarking technology is to embed a special logo information into the original digital audio works to identify the copyright and legal users of the audio works, so as to achieve the protection of the copyright of the a...

AI Technical Summary

Problems solved by technology

In addition, most algorithms choose to embed the watermark at a fixed frequency point in the entire audio segment based on general experience and experimental results, and the embedding position is not adaptive

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