arrow
Return

Multipurpose image watermarking algorithm based on multistage vector quantization

delete2005-06-01
delete155
PRE
AI
Z
Zhe‐Ming Lu
D
Dian-Guo Xu
S
Sheng-He Sun
DOI:10.1109/TIP.2005.847324delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The rapid growth of digital multimedia and Internet technologies has made copyright protection, copy protection, and integrity verification three important issues in the digital world. To solve these problems, the digital watermarking technique has been presented and widely researched. Traditional watermarking algorithms are mostly based on discrete transform domains, such as the discrete cosine transform, discrete Fourier transform (DFT), and discrete wavelet transform (DWT). Most of these algorithms are good for only one purpose. Recently, some multipurpose digital watermarking methods have been presented, which can achieve the goal of content authentication and copyright protection simultaneously. However, they are based on DWT or DFT. Lately, several robust watermarking schemes based on vector quantization (VQ) have been presented, but they can only be used for copyright protection. In this paper, we present a novel multipurpose digital image watermarking method based on the multistage vector quantizer structure, which can be applied to image authentication and copyright protection. In the proposed method, the semi-fragile watermark and the robust watermark are embedded in different VQ stages using different techniques, and both of them can be extracted without the original image. Simulation results demonstrate the effectiveness of our algorithm in terms of robustness and fragility.
Keywords:
copyright protection
image authentication
multipurpose
watermarking
multistage vector quantization
robust watermarking
semi-fragile watermarking
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Image Processing cover
IEEE Transactions on Image Processing
IF:
13.7
Papers:
1.0W
Citations:
8.4W

Organization

No organization information available
Cited Papers

Cited Papers

Behavioral and spatial analysis of extraterritorial movements in red foxes (Vulpes vulpes)
err2011-02-16
err0
errOAAI
errCarl D. Soulsbury; Graziella Iossa; Philip J. Baker; Piran C. L. White; Stephen Harris
errShare
errSave
Evaluation of an avian radar system in a midwestern landscape
err2015-12-24
err0
PREAI
errMichael B. Gerringer; Steven L. Lima; Travis L. DeVault
errShare
errSave
Assessing resilience, equity, and sustainability of future visions across two urban scales
err2023-08-21
err0
errOAAI
errMarta Berbés-Blázquez; Elizabeth M. Cook; Nancy B. Grimm; David M. Iwaniec; Lelani M. Mannetti; Tischa A. Muñoz-Erickson; Darin Wahl
errShare
errSave
Secure spread spectrum watermarking for multimedia
err1997-12-01
err4.2K
PREAI
errCox, IJ; Kilian, J; Leighton, FT; Shamoon, T
errShare
errSave
researcher View more