CN104658541A - Digital watermarking system based on discrete wavelet transform - Google Patents
Digital watermarking system based on discrete wavelet transform Download PDFInfo
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- CN104658541A CN104658541A CN201310601233.2A CN201310601233A CN104658541A CN 104658541 A CN104658541 A CN 104658541A CN 201310601233 A CN201310601233 A CN 201310601233A CN 104658541 A CN104658541 A CN 104658541A
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Abstract
The invention relates to a digital watermarking system based on discrete wavelet transform. The system consists of five modules: a watermark scrambling encryption module, a watermark embedding module, a watermark assaulting module, a watermark extraction module and a watermark decryption module, wherein the watermark scrambling encryption module is used for realizing scrambling encryption of watermarks according to an Arnold transform method and a chaotic scrambling method respectively; the watermark embedding module is used for embedding watermark information, embedding the watermark information into audios and storing watermark-containing audio files; the watermark assaulting module is used for realizing watermark assault by ways of shearing, Gaussian noise adding, low-pass filtering and compressing respectively; the watermark extraction module is used for extracting the watermark information and extracting the watermark information by means of the watermark-containing audios according to the concept of semi blind watermarks; the watermark decryption module is mainly used for decrypting encrypted watermarks extracted.
Description
Technical field
What the present invention relates to is a kind of digital watermarking system, particularly a kind of digital watermarking system based on wavelet transform.
Background technology
Digital watermark technology comes from the research to digital picture, in recent years, along with the quickening of IT application process, digital watermark has been extended to audio frequency, video field, and research institution famous such as Massachusetts Institute of Technology (MIT), Cambridge University, IBM Corporation, Hitachi, NEC, PHILIPS, Microsoft etc. obtain very gratifying achievement in the research of digital watermark technology.Simultaneously in the momentous conferences such as IEEE with SPIE, also open the special topic lecture relevant to digital watermarking, the important periodical in many worlds has all published monograph about digital watermark technology or special report.In addition, some tissues start the unified standard considering formulation digital watermark technology.State is relatively external more late to the research of digital audio watermarking algorithm, but develop also very fast, a collection of strong university and a considerable amount of scientific research institution have dropped into great effort in this field, be devoted to the research of various algorithm, at present, the research of China in digital watermark technology field and innovation and world standard are more or less the same.
The present invention, according to the feature of sound signal, selects suitable watermark information and Algorithms of Discrete Wavelet Transform, and in conjunction with human auditory system's characteristic, adaptive embed watermark, and from voice data, extract watermark according to inverse process when embed watermark.Finally, utilize Matlab tool software to design digital audio frequency watermark system, attack experiment is carried out to the audio frequency of embed watermark, and extracts watermark, check its robustness.
Summary of the invention
The object of the invention is, in order to design a kind of feature according to sound signal, to select suitable watermark information and algorithm, and in conjunction with human auditory system's characteristic, the digital watermarking system of adaptive embed watermark.
The object of the present invention is achieved like this, and system specifically comprises following five kinds of modules:
(1) watermark scrambling encryption module: the scrambling encryption realizing watermark respectively by the method for Arnold conversion and Chaotic Scrambling.
(2) watermark embedding module: the embedding realizing watermark information.Watermark information is embedded in the middle of audio frequency, and realizes preserving containing the audio file of watermark.
(3) Attack Digital Watermarking module: respectively with shearing, add Gaussian noise, the method for low-pass filtering and compression realizes Attack Digital Watermarking.
(4) watermark extracting module: watermark information extracts.According to the thought of half blind watermatking, utilize the audio extraction watermark information containing watermark.
(5) watermark deciphering module: main realization is decrypted process to the encrypted watermark extracted.
The present invention also comprises in addition:
Before to watermarking images dimension-reduction treatment, first scramble transformation is done to image, again watermark is become one-dimensional sequence in a mess, even if code breaker obtains watermark information, the mess code that what he obtained is also without any meaning, person can the watermark recovery of scramble to only have copyright information, and object eliminates the correlativity of binary bitmap, the watermark robustness of extraction is strengthened, and the watermarking images after scramble can be expressed as W '
W′={w′(i,j),0≤i<M
1,0≤j≤M
2}
The advantage that the present invention has in addition is:
Can resist the attack of some convectional signalses in digital watermarking, robustness is stronger;
Before audio frequency process, add scramble transformation, improve the security of digital watermarking;
Watermark signal is hidden in the wavelet conversion coefficient of signal classification, the wavelet conversion coefficient selected generally belongs to the low-frequency range of signal, low-frequency range is the major part of signal, if low frequency part signal is subject to larger change, the tonequality of the sound signal restored will degradation, thus improves the security of digital watermarking further.
Accompanying drawing explanation
Fig. 1 is watermarking algorithm flow process;
Fig. 2 is system chart.
Embodiment
Below in conjunction with accompanying drawing citing, the present invention is described in more detail:
It is as follows that composition graphs 1 audio frequency watermark embeds flow process:
(1) pre-service is carried out to watermark, be translated into one dimension watermark information;
(2) to the sound signal of embed watermark part carrying out segmentation pre-service;
(3) N level discrete wavelet transformation is carried out to every section audio signal of segmentation, obtain a series of coefficient of wavelet decomposition;
(4) by amendment wavelet coefficient, watermark information is embedded into the sound signal of segmentation;
(5) discrete wavelet inverse transformation is carried out to the wavelet coefficient revised, obtain audio signal segment with watermarked information;
(6) above-mentioned audio section and the signal segment irrelevant with watermark embedment are connected together, the audio file of composition containing watermark.
The structured flowchart of composition graphs 2 system is as follows:
(1) watermark scrambling encryption module: the scrambling encryption realizing watermark respectively by the method for Arnold conversion and Chaotic Scrambling.
(2) watermark embedding module: the embedding realizing watermark information.Watermark information is embedded in the middle of audio frequency, and realizes preserving containing the audio file of watermark.
(3) Attack Digital Watermarking module: respectively with shearing, add Gaussian noise, the method for low-pass filtering and compression realizes Attack Digital Watermarking.
(4) watermark extracting module: watermark information extracts.According to the thought of half blind watermatking, utilize the audio extraction watermark information containing watermark.
(5) watermark deciphering module: main realization is decrypted process to the encrypted watermark extracted.
Claims (2)
1. based on the digital watermarking system of wavelet transform, its composition comprises: (1) watermark scrambling encryption module, (2) watermark embedding module, (3) Attack Digital Watermarking module, (4) watermark extracting module, (5) watermark deciphering module.
2. the digital watermarking system based on wavelet transform according to claim 1, is characterized in that before to watermarking images dimension-reduction treatment, first doing scramble transformation to image, then watermark being become one-dimensional sequence in a mess.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310601233.2A CN104658541A (en) | 2013-11-25 | 2013-11-25 | Digital watermarking system based on discrete wavelet transform |
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| CN201310601233.2A CN104658541A (en) | 2013-11-25 | 2013-11-25 | Digital watermarking system based on discrete wavelet transform |
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| CN104658541A true CN104658541A (en) | 2015-05-27 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105374361A (en) * | 2015-12-16 | 2016-03-02 | 广东石油化工学院 | Audio frequency watermark algorithm based on chaos system |
| CN106504757A (en) * | 2016-11-09 | 2017-03-15 | 天津大学 | A kind of adaptive audio blind watermark method based on auditory model |
| CN106875954A (en) * | 2017-03-27 | 2017-06-20 | 中国农业大学 | The speech hiding circuit structure and its control method of a kind of anti vocoder treatment |
| US10698988B2 (en) * | 2017-03-30 | 2020-06-30 | Cisco Technology, Inc. | Difference attack protection |
| CN111654370A (en) * | 2020-06-04 | 2020-09-11 | 青岛通产智能科技股份有限公司 | Chip-based audio hardware encryption and decryption method and device |
-
2013
- 2013-11-25 CN CN201310601233.2A patent/CN104658541A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105374361A (en) * | 2015-12-16 | 2016-03-02 | 广东石油化工学院 | Audio frequency watermark algorithm based on chaos system |
| CN106504757A (en) * | 2016-11-09 | 2017-03-15 | 天津大学 | A kind of adaptive audio blind watermark method based on auditory model |
| CN106875954A (en) * | 2017-03-27 | 2017-06-20 | 中国农业大学 | The speech hiding circuit structure and its control method of a kind of anti vocoder treatment |
| US10698988B2 (en) * | 2017-03-30 | 2020-06-30 | Cisco Technology, Inc. | Difference attack protection |
| CN111654370A (en) * | 2020-06-04 | 2020-09-11 | 青岛通产智能科技股份有限公司 | Chip-based audio hardware encryption and decryption method and device |
| CN111654370B (en) * | 2020-06-04 | 2022-08-23 | 青岛通产智能科技股份有限公司 | Chip-based audio hardware encryption and decryption method and device |
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Application publication date: 20150527 |