A hybrid approach to enhance digital image watermarking

Other Title(s)

نهج محسن و هجين لإخفاء الصور الرقمية

Dissertant

al-Msidin, Khalil Ibrahim

Thesis advisor

al-Hasanat, Ahmad Bashir A.

Comitee Members

al-Abadilah, Ahmad Hamad Hammud
al-Abbadi, Muhammad Ali Husayn
Ilayyan, Firas Ali

University

Mutah University

Faculty

Information Technology College

Department

Computer Science Department

University Country

Jordan

Degree

Master

Degree Date

2016

English Abstract

Watermarking Systems are one of the most important techniques used to protect digital content.

The main challenge facing most of these techniques is to hide and recover the message without losing much of information when a specific attack occurs.

This thesis proposes a method with a stable outcome under any type of attack.

The proposed method is basically a hybrid approach of three different transforms namely: Discrete Wavelet Transform (DWT), Discrete Shearlet Transform (DST) and Arnold Transform.

We call this new hybrid method SWA (Shearlet, wavelet, and Arnold).

Initially, DWT was applied to cover image to get four sub-bands, we selected the HL (High-Low) subband of DWT, HL sub-band contains vertical features of the host image, where these features can maintain the embedded image more stable, in the next step, DST performed with HL sub-band.

Next, Arnold transform is applied to the message image.

Finally, the output that obtained from Arnold will be stored within Shearlet output.

The inverse DST re-executed where the output represented at HL subband with inverse DWT to get a watermarked image.

For extracting the embedded image, DWT was applied then DST performed with HL subband, then embedded image extracted from the specific matrix by Arnold, therefore it is necessary to apply the inverse Arnold to get a message image.

To evaluate the proposed method we used six performance evaluation measures namely: PSNR, MSE, RMSE, SNR, MAE, and SSIM.

In addition to applying seven different types of attacks on some test images.

The experimental results performed based on Lena image as a cover image and copyright image as a message., the proposed method achieved significant performance comparing to the state-of-the-art methods, as it achieved (PSNR = 58.0975), (SSIM = 0.9950), (MSE=0.1016), (RMSE=0.3187), (SNR=-0.0629) and (MAE=0.1016).

Main Subjects

Information Technology and Computer Science

No. of Pages

61

Table of Contents

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-749307