Image quality assessment of fast fourier transform domain watermarked images
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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/18464/ http://irep.iium.edu.my/18464/4/Image_Quality_Assessment_of_Fast_Fourier_Transform.pdf |
| _version_ | 1848778200304320512 |
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| author | Olanrewaju, Rashidah Funke Aburas, A. A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha |
| author_facet | Olanrewaju, Rashidah Funke Aburas, A. A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha |
| author_sort | Olanrewaju, Rashidah Funke |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T14:58:06Z |
| format | Proceeding Paper |
| id | iium-18464 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:58:06Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-184642020-07-16T08:10:34Z http://irep.iium.edu.my/18464/ Image quality assessment of fast fourier transform domain watermarked images Olanrewaju, Rashidah Funke Aburas, A. A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha QA Mathematics 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. 2009-06-17 Proceeding Paper NonPeerReviewed application/pdf en http://irep.iium.edu.my/18464/4/Image_Quality_Assessment_of_Fast_Fourier_Transform.pdf 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.. http://www.rict-itb.org/ocs3/index.php?cf=7 |
| spellingShingle | QA Mathematics Olanrewaju, Rashidah Funke Aburas, A. A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Image quality assessment of fast fourier transform domain watermarked images |
| title | Image quality assessment of fast fourier transform domain watermarked images |
| title_full | Image quality assessment of fast fourier transform domain watermarked images |
| title_fullStr | Image quality assessment of fast fourier transform domain watermarked images |
| title_full_unstemmed | Image quality assessment of fast fourier transform domain watermarked images |
| title_short | Image quality assessment of fast fourier transform domain watermarked images |
| title_sort | image quality assessment of fast fourier transform domain watermarked images |
| topic | QA Mathematics |
| url | http://irep.iium.edu.my/18464/ http://irep.iium.edu.my/18464/ http://irep.iium.edu.my/18464/4/Image_Quality_Assessment_of_Fast_Fourier_Transform.pdf |