About image digital watermark embedded strength regression prediction model modeling method

Abstract

The invention discloses an image digital watermark embedded strength regression prediction model modeling method. The method herein includes the following steps: firstly setting watermark evaluation parameters which include a similarity NC which is intended for balancing watermark robustness and a peak signal-to-noise ratio which is intended for balancing watermark concealment, and based on requirements, determining a weight [beta] between two parameters, and using the SVM method to conduct machine learning on a training set. The method herein establishes a regression prediction model related to watermark embedded strength, can predict optimal watermark embedded strength of a to-be-embedded original image, and eventually uses DWT conversion to embed digital watermark to the original image.

Description

Technical field [0001] The invention relates to the technical field of information security, in particular to a modeling method of an image digital watermark embedding strength regression prediction model. Background technique [0002] With the rapid development of information technology, information security issues have become increasingly prominent. Digital watermarking technology has become a research hotspot in the field of digital product copyright protection by embedding watermark information into digital products (including multimedia, documents, software, etc.) to identify the source of digital products, creators and other copyright information. To achieve the function of copyright protection, digital watermarks should have two characteristics: one is robustness, which means that after signal processing (including channel noise, clipping, rotation, etc.), digital watermarks can maintain partial integrity and can be extracted And identification; the second is concealment,...

AI Technical Summary

Problems solved by technology

However, in the prior art, the watermarking algorithm is used to directly embed the digital watermark into the image. In this process, since there is no reference model for the embedding strength of the digital watermark, the embedding strength of the digital watermark cannot be accurately controlled. Usually less robust and stealthy

[0004] In addition, in the prior art, the block discrete cosine transform is usually used for digital watermarking of images, but the problem with this method is that when digital watermarking of images, there will be inherent block effects, which will affect the robustness of digital watermarking. stickiness and stealth

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