UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1906B67


Registration ID:
215658

Page Number

426-434

Share This Article


Jetir RMS

Title

ROBUST WATERMARKING TECHNIQUE BASED ON TRANSFORM BASED DECOMPOSITION AND PRINCIPAL COMPONENT ANALYSIS

Abstract

This work introduces a hybrid technique combining RIDGLET, RPCA and SVD. The watermark logo i.e. a gray-scale image is scrambled using Arnold transform to enhance the robustness and security. The cover image is decomposed into two components using RPCA. The significant low-rank component is further decomposed to transform coefficients to embed the processed watermark using SVD into the original image. The perceptual quality of the extracted watermarks is measured using two parameters, Peak-Signal-to-Noise-Ratio (PSNR) and Normalized Correlation (NC) and it is also verified by performing various signal processing operations and geometric attacks. Results of proposed method using ridgelet transform are compared with curvelet transform as both methods are used for the decomposition of the image and peppers image is used as host image to brief the results. It has been found that proposed methods gives better PSNR results in almost all cases when different attacks applied such that only Additive Gaussian attack gives less PSNR value when proposed method is used. When NC is compared, its value falls in between .95 and .99 and for Additive Gaussian and sharpening attacks it comes 0.8732 and .9383 respectively which is less than existed method. The reason behind this is the random addition of Gaussian noise and sharpening. So from the results, we can confirm that Ridgelet is better than Curvelet in proposed technique. Also, it has high robustness and good imperceptibility that could be analysed through calculating the NC and PSNR values among extracted watermark and cover images.

Key Words

Robust watermarking Fragile watermarking, Principal components, Singular value decomposition, Arnold transform

Cite This Article

"ROBUST WATERMARKING TECHNIQUE BASED ON TRANSFORM BASED DECOMPOSITION AND PRINCIPAL COMPONENT ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.426-434, June-2019, Available :http://www.jetir.org/papers/JETIR1906B67.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ROBUST WATERMARKING TECHNIQUE BASED ON TRANSFORM BASED DECOMPOSITION AND PRINCIPAL COMPONENT ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp426-434, June-2019, Available at : http://www.jetir.org/papers/JETIR1906B67.pdf

Publication Details

Published Paper ID: JETIR1906B67
Registration ID: 215658
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 426-434
Country: patiala, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002829

Print This Page

Current Call For Paper

Jetir RMS