Mnati, Mustafa Nasser (2010) Multiple watermarking in segmented image using wavelet transform. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System.
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Abstract
Digital watermarking is the process of embedding information into digital multimedia content such that the information can later be extracted or detected for a variety of purposes including copy prevention and authentication proof. Embedding watermark in the wavelet becomes more attractive to most researchers as it could provide better performance. Even though there are many technique have been developed in this regards, but the problem of robustness and transparency from any attack is still becomes the main research issue in the watermarking technique. Thus, the challenge is still wide open . In this research; we describe a transparency and a robust DWT digital image watermarking algorithm. In the proposed algorithm, a multiple watermark images are embedded into segmented blue part of the RGB host image using a Discrete Wavelet Transform (DWT). Performance in terms of robustness and transparency of the watermarking scheme is obtained by embedding the maximum strength watermark while maintaining the perceptually lossless quality of the watermarked color image. Simulation results show that the proposed method is transparent and robust under common attacks such as JPEG compression, high pass filtering, median filtering, cropping, ,Gaussian , spackle noise , salt and peppers, motion effects and scaling attacks. In addition, the recovery method is non-blind since it requires the original host image for extracting the watermark.
Item Type: | Thesis (Masters) |
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Additional Information: | Supervisor : Prof. Dr. Dzulkifli Mohamed; Thesis (Sarjana Sains (Sains Komputer)) - Universiti Teknologi Malaysia 2010 |
Uncontrolled Keywords: | digital watermarking, wavelet transform |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computer Science and Information System |
ID Code: | 16551 |
Deposited By: | Zalinda Shuratman |
Deposited On: | 01 Feb 2012 09:08 |
Last Modified: | 13 Sep 2017 03:25 |
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