Non-uniform discrete Fourier transform based robust digital watermark method for audio

Abstract

This invention discloses one robust audio digital water print method based on non-even dispersed Fourier conversion, which Combines robust audio water print needed conditions and no uniform discrete Fourier transform characteristics to get the middle frequency range at NDFT zone with imbedded water print and uses one rule on each section of audio signal to select one water print imbedded frequency points and coverts the frequency points and imbeds water print.

Description

Technical field [0001] The invention relates to a digital watermark method based on discrete Fourier transform, belonging to the technical field of multimedia information security. Background technique [0002] In recent years, with the increasing popularity of the Internet, especially with the development of computer network communication technology, the exchange of audio and other multimedia information has reached unprecedented depth and breadth, and the exchange and transmission of audio data has become a relatively simple process; however, the full transparency and ease of operation of network information, coupled with a variety of convenient signal processing operations, can distribute and copy audio data without leaving any traces, resulting in plagiarism of audio content, copyright disputes, and audio signal This has greatly damaged the interests of authors, publishers and consumers of works of art. In copyright protection, broadcast monitoring, fingerprint identifi...

AI Technical Summary

Problems solved by technology

[0004] The common feature of the above-mentioned robust audio watermarking technology in enhancing the robustness of the audio watermarking technology is: by modifying the parameters of the transform domain coefficients, the preprocessed watermark information is embedded in the transform domain to achieve high robustness to conventional signal processing operations. The purpose of stickiness; its shortcoming is that they are all by modifying the transform domain coefficient parameters (amplitude or phase) of the conventional discrete Fourier transform, while the conventional discrete Fourier transform has the known shortcomings of the transform, that is: as long as the transform is known points, the transformed coefficients are transparent

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