Multiple image watermarking using the SILE approach
Digital copyright protection has attracted a great spectrum of studies. One of the optimistic techniques is digital watermarking. Many digital watermarking algorithms were proposed in recent literature. One of the highly addressed issues within the watermarking literature is robustness against attac...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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WSEAS
2006
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/41099 |
| _version_ | 1848756050480594944 |
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| author | Potdar, Vidyasagar Jones, Christopher Chang, Elizabeth |
| author2 | Chen, S.Y. |
| author_facet | Chen, S.Y. Potdar, Vidyasagar Jones, Christopher Chang, Elizabeth |
| author_sort | Potdar, Vidyasagar |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Digital copyright protection has attracted a great spectrum of studies. One of the optimistic techniques is digital watermarking. Many digital watermarking algorithms were proposed in recent literature. One of the highly addressed issues within the watermarking literature is robustness against attacks. Considering this major issue, we propose a new robust image watermarking scheme. The proposed watermarking scheme achieves robustness by watermarking several images simultaneously. It firstly splits the watermark (which is a binary logo) into multiple pieces and then embeds each piece in a separate image, hence, this technique is termed 'Multiple Images Watermarking'. The binary logo is generated by extracting unique features from all the images which have to be watermarked. This watermark is first permuted and then embedded using SILE algorithm [7]. Permutation is important step to uniformly distribute the unique characteristics acquired from multiple logos. The proposed watermarking scheme is robust against a variety of attacks including Gamma Correction, JPEG, JPEG2000, Blur, Median, Histogram Equalization, Contrast, Salt and Pepper, Resize, Crop, Rotation 90, Rotation 180, Projective, Row Column Blanking and Row Column Copying and Counterfeit attack. |
| first_indexed | 2025-11-14T09:06:02Z |
| format | Conference Paper |
| id | curtin-20.500.11937-41099 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:06:02Z |
| publishDate | 2006 |
| publisher | WSEAS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-410992023-02-27T07:34:29Z Multiple image watermarking using the SILE approach Potdar, Vidyasagar Jones, Christopher Chang, Elizabeth Chen, S.Y. Huang, W. Hu, Z.Y. Chen, Q.Z. Zhang, J. Wang, W.L. Zhang, L. Ji, S. Chen, J. Xiao, G. Lir, Y.F. Haar Wavelet Transform DWT HVS Perceptual Transparency Watermarking Robustness Digital copyright protection has attracted a great spectrum of studies. One of the optimistic techniques is digital watermarking. Many digital watermarking algorithms were proposed in recent literature. One of the highly addressed issues within the watermarking literature is robustness against attacks. Considering this major issue, we propose a new robust image watermarking scheme. The proposed watermarking scheme achieves robustness by watermarking several images simultaneously. It firstly splits the watermark (which is a binary logo) into multiple pieces and then embeds each piece in a separate image, hence, this technique is termed 'Multiple Images Watermarking'. The binary logo is generated by extracting unique features from all the images which have to be watermarked. This watermark is first permuted and then embedded using SILE algorithm [7]. Permutation is important step to uniformly distribute the unique characteristics acquired from multiple logos. The proposed watermarking scheme is robust against a variety of attacks including Gamma Correction, JPEG, JPEG2000, Blur, Median, Histogram Equalization, Contrast, Salt and Pepper, Resize, Crop, Rotation 90, Rotation 180, Projective, Row Column Blanking and Row Column Copying and Counterfeit attack. 2006 Conference Paper http://hdl.handle.net/20.500.11937/41099 WSEAS fulltext |
| spellingShingle | Haar Wavelet Transform DWT HVS Perceptual Transparency Watermarking Robustness Potdar, Vidyasagar Jones, Christopher Chang, Elizabeth Multiple image watermarking using the SILE approach |
| title | Multiple image watermarking using the SILE approach |
| title_full | Multiple image watermarking using the SILE approach |
| title_fullStr | Multiple image watermarking using the SILE approach |
| title_full_unstemmed | Multiple image watermarking using the SILE approach |
| title_short | Multiple image watermarking using the SILE approach |
| title_sort | multiple image watermarking using the sile approach |
| topic | Haar Wavelet Transform DWT HVS Perceptual Transparency Watermarking Robustness |
| url | http://hdl.handle.net/20.500.11937/41099 |