Olanrewaju, Rashidah Funke and Aburas, A. A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha (2009) Image quality assessment of fast fourier transform domain watermarked images. In: International Conference on Rural Information and Communication Technology , 17-18 June 2009, Bandung, Indonesia..
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Abstract
Digital watermarking is the processing of embedding digital signature into the host media such as image, video, text, audio etc. During the watermarking process, images are subjected to variety of attacks such as noise in transmission channel, geometric attacks,compression, processing like filtering, etc, all this affect the visual quality of watermarked image. Thus, there is a need for image quality assessment of watermarked images in relation to the original images. Several measures of image metrics are available in the field of image processing however they are application based. This paper discusses watermarking in FFT domain and some of the image quality metric that can be applied. Experiments are conducted using the Full Reference (FR) images. We used Mean Square Error (MSE), Root Mean Square (RMS), Structural Similarity (SSIM), Image Fidelity Measure (IFM), Correlation Coefficient Index (CCI) and Peak Signal to Noise Ratio (PSNR) as our quality assessment. Result shows that CCI, SSIM, and IFM are most appropriate for measuring quality of watermarking system.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | 4119/18464 (Proceedings of International Conference on Rural Information and Communication Technology ,ISBN : 978-979-15509-4-9) |
Uncontrolled Keywords: | Fast Fourier Transform, Image Watermarking,Image Quality Metric |
Subjects: | Q Science > QA Mathematics |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering |
Depositing User: | Prof. Dr Othman O. Khalifa |
Date Deposited: | 14 Feb 2012 08:56 |
Last Modified: | 16 Jul 2020 16:10 |
URI: | http://irep.iium.edu.my/id/eprint/18464 |
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