Angle quantification index modulation image watermarking system and method based on compressed sensing technology

Abstract

The invention discloses an angle quantification index modulation image watermarking method based on a compressed sensing technology. A chaotic sequence is adopted to construct a sparse random measurement matrix as an observation matrix, and a compressed sensing technology and an angle quantification index modulation algorithm are utilized to safely and snugly embed watermark information into a compressed sensing domain of a carrier image. The invention also provides an angle quantification index modulation image watermarking system based on a compressed sensing technology. The system includesan observation matrix constructing module, a watermark embedding module, an information transmission module and a watermark extracting module. According to the angle quantification index modulation image watermarking method and system based on a compressed sensing technology, the watermark information is embedded into the compressed sensing domain of the carrier image through the angle quantification index modulation algorithm at a sending end, related information of the observation matrix and the embedding position of the watermark serve as a key to be sent to a receiving end, watermark extraction is realized, the advantages of good concealing property, high security and the like are achieved, and very high robustness is shown when conventional watermark attacks such as noise, filtering,image compression, amplitude scaling and the like are resisted.

Description

technical field

[0001] The invention relates to an image watermarking system and method, belonging to the technical fields of information hiding and image processing. Background technique

[0002] Digital watermarking adds certain digital information to digital media information in order to protect the copyright of digital media. Generally speaking, digital watermarking has three main characteristics: fidelity, robustness and capacity. The quantization index modulation algorithm has become one of the most popular robust watermarking algorithms because it can effectively compromise these three characteristics, but the quantization index modulation algorithm is extremely vulnerable to amplitude scaling attacks. On this basis, an angle quantization index modulation algorithm is proposed to improve the robustness against amplitude scaling attacks, however, angle quantization index modulation is vulnerable to Gaussian white noise.

[0003] The idea of ​​compressed sensing was p...

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