Analysis of a wavelet-based watermarking algorithm

Víctor V.Hernández Guzmán, Mariko Nakano Miyatake, Héctor M.Pérez Meana

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

28 Scopus citations

Abstract

In this paper the analysis of a wavelet-based watermarking algorithm is presented, in which Discrete Wavelet Transform (DWT) is used for watermark embedding and detection. In image compression field, the relation between DWT coefficients and Human Visual System (HVS) is researched intensively to get better compression performance. Recently this knowledge is applied to the watermarking algorithms based on DWT domain. The watermarking algorithm to analyze is adaptive to the image characteristics, such as texture and luminance contents, and it is realized using pixel by pixel masking in DWT domain to embed watermark with maximum energy. The detection process consists of cross-correlation between marked image and pseudorandom sequences, and in this process the original image is not required. The computer simulation results show robustness and perceptual invisibility of the algorithm.

Original languageEnglish
Title of host publicationProceedings - 14th International Conference on Electronics, Communications and Computers, CONIELECOMP 2004
PublisherIEEE Computer Society
Pages283-287
Number of pages5
ISBN (Print)076952074X, 9780769520742
DOIs
StatePublished - 2004
Externally publishedYes
EventProceedings - 14th International Conference on Electronics, Communications and Computers, CONIELECOMP 2004 - Veracruz, Mexico
Duration: 16 Feb 200418 Feb 2004

Publication series

NameProceedings - International Conference on Electronics, Communications and Computers, CONIELECOMP

Conference

ConferenceProceedings - 14th International Conference on Electronics, Communications and Computers, CONIELECOMP 2004
Country/TerritoryMexico
CityVeracruz
Period16/02/0418/02/04

Fingerprint

Dive into the research topics of 'Analysis of a wavelet-based watermarking algorithm'. Together they form a unique fingerprint.

Cite this