Robust image double-watermarking method

A robust, image-based technology, applied in the field of digital image double watermarking, can solve problems such as not combining human visual texture characteristics, achieve excellent denoising ability, improve efficiency, and improve robustness

Inactive Publication Date: 2009-09-16
XIDIAN UNIV
View PDF0 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] [1] Autrusseau F, Le Callet P, Ninassi A.A Study of Content based Watermarking Using an Advanced HVS Model.Intelligent Information Hiding and Multimedia Signal Processing., 2007, 28(10): 485-488. Using HVS characteristics to perform Fourier coefficients The division of perceptual perception ability to determine the watermark embedding position, the embedding process does not combine the visual texture characteristics of the human eye
[0005] [2] Lan Hongxing, Chen Songqiao, Hu Aina, Li Taoshen, Resea

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Robust image double-watermarking method
  • Robust image double-watermarking method
  • Robust image double-watermarking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] 1. Introduction to basic theory

[0037] 1.1 Theoretical basis of EMD

[0038] In 1998, Huang et al. proposed a new signal processing method, the Empirical Mode Decomposition (EMD) method, to process non-stationary and nonlinear signals. According to the local characteristics of the signal, the EMD method can adaptively decompose it into components of high to low frequency and local narrowband, that is, the intrinsic kernel function IMF (Intrinsic Mode Function). This decomposition algorithm is proposed by Huang et al. The sieve method is called the sieving process. The signal x(t) is then decomposed into the sum of multiple local narrowband IMFs and a monotonic residual trend function.

[0039] The EMD decomposition on the signal x(t) can be expressed as the formula:

[0040] x ( t ) = Σ i = 1 n ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a robust image double-watermarking method, which mainly solves the problem that the prior methods of the same type are poor in robustness and fully utilizes two image characteristics, namely inherent texture and edges to form double watermarks. When the watermarks are embedded, a zero watermark is structured by utilizing the edge characteristics of an original host image; an intensive-texture region of the host image is obtained by an empirical mode decomposition method; and a direction with maximum energy on a Contourlet domain is selected to embed binary watermarks. When the watermarks are extracted, the edge characteristics of a synthetic image is first extracted to detect the zero watermark; then a watermark-embedding position is quickly positioned by utilizing specific keys; and the binary watermarks are extracted. The method has the advantages of high capability of resisting geometric attacks, good transparency and high security, and can be used for protecting the copyright security of digital multimedia products.

Description

technical field [0001] The invention belongs to the field of image information processing, relates to a digital image double watermark method, and can be used for copyright protection of digital multimedia products. Background technique [0002] Image digital watermarking plays an important role in multimedia copyright protection and information integrity authentication. It is a hotspot in the field of information security research. Watermark transparency and robustness are two key technical characteristics. On the premise of satisfying the requirement of transparency, embedding the watermark to the maximum and improving the robustness feature become the difficulties in the research of watermarking methods. [0003] At present, image watermarking methods based on empirical mode decomposition are rare, and HVS-based watermarking methods are: [0004] [1] Autrusseau F, Le Callet P, Ninassi A.A Study of Content based Watermarking Using an Advanced HVS Model.Intelligent Informa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T1/00H04N7/24
Inventor 同鸣姬红兵许婷
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap