Self-adaptive audio blind watermark method based on auditory model

An adaptive, blind watermarking technology, applied in the field of information hiding, can solve the problem that the embedding position is not adaptive, and achieve the effect of large watermark capacity, good imperceptibility and good robustness

Inactive Publication Date: 2017-03-15
TIANJIN UNIV
View PDF12 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Self-adaptive audio blind watermark method based on auditory model
  • Self-adaptive audio blind watermark method based on auditory model
  • Self-adaptive audio blind watermark method based on auditory model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] An adaptive audio blind watermarking method based on an auditory model of the present invention will be described in detail below with reference to embodiments and drawings.

[0051] Such as figure 1 As shown, a kind of adaptive audio blind watermarking method based on auditory model of the present invention, comprises the following steps:

[0052] 1) Arnold transform, dimension reduction processing and chaotic transformation are performed on the watermark signal to obtain the watermark information w.

[0053] Let M 0 is the original watermark signal, expressed as M 0 ={m 0 (i,j),0≤i0 (i,j)∈{0,1} represents the pixel gray value of the binary watermark image. In order to eliminate the spatial correlation of the watermark image, we scramble the watermark as Arnold, denoted as M 1 ={m 1 (i,j),0≤i1 (i, j), 1≤i≤M, 1≤j≤N, k=(i-1)×N+j}.

[0054] In order to further improve the anti-attack capability of the watermark, the present invention uses the Logistic equation to o...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G10L19/018
Inventor 张涛张彩霞高新意赵鑫
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products