Title:
A Digital Image Watermarking Technique
Based On Multiple Transform Methods
Meekyeong Kim
Location: YR-459
Date: May 5, 2017
Time: 12:00 pm
Abstract
Copyright protection of digital content has
become one of important issues in digital content marketplace. Digital
watermarking may be used as an effective method for identifying the copyright
ownership of digital content such as images, audio, and video against
unauthorized use and distribution. The basic idea of digital watermarking is
embedding or hiding information related to the copyright and ownership of the
digital content imperceptibly as a watermark into the content.
In this dissertation, our aim is to propose an
efficient digital image watermarking algorithm based on the multiple transform
methods which combine the benefits of the frequency decomposition ability of
discrete wavelet transform (DWT) and the unpredictable random distribution
property of discrete fractional random transform (DFRNT) using 2D barcode to
improve the robustness, imperceptibility, security, and extraction performance
of watermarking algorithm. Experimental results present that our proposed
algorithm has improved the extraction performance by accurately extracting the
hidden information in the 2D barcode from the detected watermark. Also,
combining the dual transform method, DWT and DFRNT, has improved the security
and robustness of the watermarking algorithm against basic image signal
processing and common attacks.