Digital audio-frequency water-print inlaying and detecting method based on auditory characteristic and integer lift ripple

Abstract

The invented method is a new digital watermark method for embedding gray image (or color image) into original digital audio production, belonging to area of information safety and multimedia information processing. first, watermark image is encoded as one dimension binary sequence, and scrambling encryption is added. Next, sectionalized treating is carried out for digital audio signal. Based on features of time domain shelter of human auditory system, integer type upgraded wavelet transform is carried out for sect of audio frequency selected in selfadaptation. Then, based on features of frequency domain, wavelet coefficient is determined in selfadaptation. Watermark information is embedded into hearing important coefficients with wavelet transformed by using quantization treating procedure. Finally, digital audio production with embedded watermark information is obtained by inversed wavelet transform and recombination of audio data sects. Inversed process can test digital watermark.

Description

Technical field [0001] The digital audio watermark embedding and detection method based on auditory characteristics and integer lifting wavelet described in the present invention is a new digital watermark method for embedding grayscale images (or color images) into original digital audio works, belonging to information security, multimedia the field of information processing. Background technique [0002] As an effective means of intellectual property protection of digital audio works (such as MP3 music, MIDI music, etc.), Digital Audio Watermarking (Digital Audio Watermarking) technology has been widely concerned, and has become a research hotspot in the international academic circles. The so-called digital audio watermarking technology is to embed a special logo information (pseudo-random sequence or identifiable pattern text) into the original digital audio works to identify the copyright and legal users of the audio works, thereby authenticating or controlling the audio...

AI Technical Summary

Problems solved by technology

[0013] 1. When extracting watermark information, the original audio carrier is directly or indirectly required;

[0014] 2. The embedded watermark information is generally a pseudo-random sequence (or binary symbol image), and the capacity of the digital watermark is too small;

[0015] 3. The perception characteristics of the human auditory system (HAS) cannot be fully considered, and the transparency and robustness of digital watermarking need to be further improved;

[0016] 4. Fast wavelet transform (that is, Mallat algorithm) is often used, which not only requires complicated calculations, but also requires a large memory space, which is not conducive to hardware implementation, and there are serious rounding errors (because of floating-point operations)

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