Machine learning-based color image watermark embedding and detecting method

Abstract

The invention discloses a machine learning-based color image watermark embedding and detecting method. The method comprises the following steps of firstly, using a matrix-based image normalizing technology to map a carrier image to a geometric invariant space, and combining a invariant centroid theory to determine an important area in a normalized color image; secondly, performing non-subsample Contourlet conversion on the important area of the G-component normalized color image; finally, according to a G-component visual mask model, adaptively determining embedding intensity, so that an image watermark is embedded in a low-frequency area, and the embedded watermark is guaranteed to have very good transparency and very high robustness; during watermark detection, by using the height relativity among color image components, selecting a stable feature vector training SVR (Support Vector Regression) model, and using the SVR training model to extract digital watermark information.

Description

technical field [0001] The invention belongs to the technical field of information hiding and digital watermarking in multimedia information security, especially a kind of watermarking technology that not only has better imperceptibility, but also is suitable for conventional signal processing (median filtering, edge sharpening, superimposed noise and JPEG compression, etc.) and Desynchronization attacks (rotation, translation, scaling, shearing, flipping, etc.) are robust machine learning-based color image watermark embedding and detection methods. Background technique [0002] Digital watermarking (Digital Watermarking), as an effective supplementary method to traditional encryption methods, is a new technology that can protect copyright and authenticate the source and integrity in an open network environment. A hot spot of research. The so-called digital image watermark is to hide a mark (watermark) with a specific meaning in a digital image product by means of data embe...

AI Technical Summary

Problems solved by technology

That is to say, the existing algorithm fails to reflect and retain the specific relationship of different color components in the entire color space, which will inevitably affect the robustness and imperceptibility of digital watermarking.

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