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Reseach Article

Combined DCT – CS Theory based Digital Watermarking Technique for Color Images

Published on March 2014 by Rohit M. Thanki, Komal R. Borisagar
National Conference on Emerging Trends in Information and Communication Technology 2013
Foundation of Computer Science USA
NCETICT - Number 1
March 2014
Authors: Rohit M. Thanki, Komal R. Borisagar
7212eae5-5989-41a2-a152-87edc46babab

Rohit M. Thanki, Komal R. Borisagar . Combined DCT – CS Theory based Digital Watermarking Technique for Color Images. National Conference on Emerging Trends in Information and Communication Technology 2013. NCETICT, 1 (March 2014), 17-23.

@article{
author = { Rohit M. Thanki, Komal R. Borisagar },
title = { Combined DCT – CS Theory based Digital Watermarking Technique for Color Images },
journal = { National Conference on Emerging Trends in Information and Communication Technology 2013 },
issue_date = { March 2014 },
volume = { NCETICT },
number = { 1 },
month = { March },
year = { 2014 },
issn = 0975-8887,
pages = { 17-23 },
numpages = 7,
url = { /proceedings/ncetict/number1/15658-1307/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Emerging Trends in Information and Communication Technology 2013
%A Rohit M. Thanki
%A Komal R. Borisagar
%T Combined DCT – CS Theory based Digital Watermarking Technique for Color Images
%J National Conference on Emerging Trends in Information and Communication Technology 2013
%@ 0975-8887
%V NCETICT
%N 1
%P 17-23
%D 2014
%I International Journal of Computer Applications
Abstract

In this paper, a digital watermarking technique using new signal processing theory called compressive sensing have been implement and analysis for different embedding monochromic watermark images into color cover images. In order to implement of technique, first convert watermark image into its sparse domain and then convert into linear measurement vector using basis matrix and measurement matrix. Then embed this linear measurement vector into color cover image using mid band coefficient based DCT watermarking technique. This paper is also give comparison of this technique for different mid band coefficient with traditional approach of DCT based watermarking technique. Watermarked image have been verified on the parameters of PSNR, BER, SSIM and Payload Capacity. This technique is providing more Payload Capacity compare to traditional approach of DCT based watermarking technique.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Compressive Sensing Sparse Domain Payload Capacity Ssim Color Image Watermarking