The digital image watermarking is a process that embeds a secrete
sequence into a digital image or a video segment to protect its copyright
information.
There are several methods utilized to deal with the watermarking
problem. There are in total two different kinds: the popular neural
network and the traditional methods. And for the traditional
methods, according to their working region, they can be divided into
two groups: spatial domain-related algorithms (e.g., LSB SVD) and
transformed domain algorithms (e.g., DCT, DWT). The spatial domain
algorithms are the methods that directly work on the pixel
values of the image, while the transformed domain algorithms are
the methods that work on the rate of change of the image pixels.
In the thesis, first of all, we are going to propose a modified hybrid
the scheme, which has better results compared with the paper (Lin
and Wan 2016). Then, we are going to offer a brand-new method
concerning the LDPC-LDGM coding structure in the area of information
theory to deal with the digital watermarking problem. Notice
that this LDGM-LDPC nested code watermarking scheme only provides
a particular case example, which is implemented by one of the
teammates Dr. Mahdi, and there is still much space for improvement.
However, according to the step tests in chapter 4.4, we have
achieved a reasonably good result in imperceptibility and robustness. / Thesis / Master of Applied Science (MASc)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/25517 |
| Date | January 2020 |
| Creators | Zhao, Wenjie |
| Contributors | Chen, Jun, Electrical and Computer Engineering |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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