Encrypted kinoform based digital image watermarking embedding and extracting methods and systems

A watermark embedding, digital image technology, applied in image data processing, image data processing, instruments, etc., can solve problems such as intentional attack, inability to extract watermark information, pollution, etc.

Active Publication Date: 2011-08-03
PEKING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] However, although most of the existing watermarking schemes can resist various types of attacks, they are not robust against a certain type of attack, such as the ability to resist strong clipping attacks is weak, or cannot resist strong clipping attacks
In the actual dissemination process,

Method used

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  • Encrypted kinoform based digital image watermarking embedding and extracting methods and systems
  • Encrypted kinoform based digital image watermarking embedding and extracting methods and systems
  • Encrypted kinoform based digital image watermarking embedding and extracting methods and systems

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Embodiment Construction

[0045] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0046] Based on the consideration of the reproduction quality and safety performance of the kinoform, the present invention improves the traditional computer production method of the kinoform on the basis of the prior art, that is, adopts random fractional Fourier transform and non-cascaded structure iteration The phase recovery method fully records the phase and amplitude information of the object light wave, so as to simultaneously enhance the information capacity and safety performance of the kinoform.

[0047] Embodiment of digital image watermark embedding method based on encrypted kinoform

[0048] refer to image 3 , image 3 It is a flow chart of the steps of the embodiment of the digital image watermark embedding meth...

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Abstract

The invention discloses encrypted kinoform based digital image watermarking embedding and extracting methods and systems. The digital image watermarking embedding method comprises the following steps of: transforming an original watermarking image through non-cascaded phase recovery and random fractional fourier transform (RFrFT) to acquire an encrypted kinoform of the original watermarking image; and adaptively embedding the encrypted kinoform into a carrier image based on a human visual system (MVS) model. In the invention, the safety of the watermarking of the kinoform is enhanced by using a non-cascaded iterative encryption method; meanwhile, blink watermarking is realized by adopting an adaptive embedding algorithm; and experiments verify that extremely high robustness against various attacks is achieved, and the safety performance is extremely high.

Description

technical field [0001] The invention relates to digital image watermark technology, in particular to a digital image watermark embedding and extraction method and system based on an encrypted kinoform. Background technique [0002] The rapid development of network technology and communication technology provides convenience for people to transmit and exchange various information on the network, but it also provides more convenient channels for criminals to obtain and disseminate digital products. Therefore, protecting the copyright of digital products and preventing piracy have become one of the serious problems faced by digital products and network applications. Digital image watermarking technology is a kind of watermark information that hides content such as intellectual property information in the carrier image, and restores copyright information through watermark extraction and detection technology to achieve the purpose of protecting digital copyright. In order to mee...

Claims

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Application Information

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IPC IPC(8): G06T1/00
Inventor 杨光临邓柯
Owner PEKING UNIV
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