Digital audio frequency watermark embedding and identifying method based on Zernike conversion

Abstract

The invention is a watermark insertion and authentication method of transposition audio frequency based on Zernike, it belongs to the safety field of multi-media information. The invention has two processes, one is watermark insertion, the other is watermark monitor, compressing MP3 by audio frequency low order Zernike trisquare and the solidity of routine signal handling such as low band filtering, to make the insertion watermark achieve the purpose that MP3 compression and the solidity of low band filtering. The watermark is inserted in low order Zernike trisquare to ensure the solidity of the signal treated by watermark, and the distortion of the reconstruction based on Zernike trisquare in the past can be avoid the according the linearity relation between the audio frequency Zernike trisquare and the audio frequency amplitude.The invention method treats routine signal (MP3 compression, re-quantification, re-sampling, Gauss noise, amplitude linearity stretch, low band filtering and so on) solidly, the function improves greatly to resist the low band filtering and MP3 compression than the watermark which is inserted in the time domain, as a new audio frequency watermark technology, the invention can be used to the protect the proprietary right of digital audio frequency.

Description

technical field [0001] The invention belongs to the field of multimedia signal processing, and in particular relates to a digital audio watermark embedding and authentication method based on Zernike transformation. Background technique [0002] In recent years, digital watermarking technology has demonstrated its importance in many application fields, and has been widely valued. Most current research and literature on data hiding focus on image watermarking. With the widespread use of digital audio, piracy, such as downloading MP3s through the Internet and then publishing pirated copies, has often occurred. As an effective means to protect audio intellectual property rights, digital audio watermarking is attracting more and more attention. [0003] Due to the RST invariance of Zernike moments of images, Zernike transform has been widely used in image watermarking. In these applications, image Zernike moments are mainly used in image recognition, image authentication, and ...

AI Technical Summary

Problems solved by technology

Therefore, proper preprocessing must be performed before performing Zernike transformation on a one-dimensional signal, that is, mapping one-dimensional information into a two-dimensional form; 2) The preprocessed audio needs to face a series of problems after Zernike transformation, such as synchronization problems , reconstruction issues, etc.; 3) people have a certain understanding of the physical meaning of the Zernike moment of the image, but there is no in-depth research on the Zernike transform of the audio signal and its properties

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