Image watermarking on Gaussian low pass components ignoring edges and its neighbor pixels

Conference proceedings article


Authors/Editors


Strategic Research Themes

No matching items found.


Publication Details

Author listMorshed A.B.M.M., Amornraksa T.

PublisherSociety of Photo-optical Instrumentation Engineers

Publication year2011

Volume number8285

ISBN9780819489326

ISSN0277-786X

eISSN1996-756X

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-80054707354&doi=10.1117%2f12.913437&partnerID=40&md5=46518e97ca1e9048402ecfe8732124fa

LanguagesEnglish-Great Britain (EN-GB)


View in Web of Science | View on publisher site | View citing articles in Web of Science


Abstract

This paper proposes a method used to improve the performance of the digital watermarking based on the modification in the blue channel of the image pixels. The main objective is to reduce the error prediction caused by the high different values of neighbor pixels. We use 5x5 Gaussian Low Pass Filter in the embedding side and then the edge detection technique takes place in order to find out the high different values of neighbor pixels, so that on the embedding side, the watermark bits are embedded on the low frequency components of the blue channel ignoring the edges and neighbor of 3x3 pixel positions, where in the extraction side, only the edge and its neighbor ignorance are applied. The experimental results show the improved performance in terms of average NC, compared to the previous methods. The improved robustness of our method against different types of attacks at various strengths is also presented and compared. ฉ 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).


Keywords

average NCedge detectionGaussian Low Pass Filterlow frequency componentsrobustness


Last updated on 2023-28-09 at 09:59