Multi-objective Particle Swarm Optimization Based Image Watermarking Scheme
A novel image watermarking scheme based on the statistics of the blocked DCT coefficients. The watermark is embedded into the middle frequency of those DCT coefficients by modulating the number of those positive and negative coefficients. In order to achieve better robustness and imperceptibility, m...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201712802003 |
| _version_ | 1818620112198959104 |
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| author | Fu YongGang Wang HuiRong Chen Lizhen Jiang Yunfei |
| author_facet | Fu YongGang Wang HuiRong Chen Lizhen Jiang Yunfei |
| author_sort | Fu YongGang |
| collection | DOAJ |
| description | A novel image watermarking scheme based on the statistics of the blocked DCT coefficients. The watermark is embedded into the middle frequency of those DCT coefficients by modulating the number of those positive and negative coefficients. In order to achieve better robustness and imperceptibility, multi-objective particle swarm optimization (MPSO) has been used in the watermark embedding and extracting procedure. The particle swarm optimization is applied to obtain optimum multiple scaling factors and the embedding strength. The experimental results show that the proposed scheme has significant improvement in term of imperceptibility and robustness under various general attacks. |
| first_indexed | 2024-12-16T17:48:12Z |
| format | Article |
| id | doaj.art-e24a9d75361b4175b48d6ca706197c4c |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-16T17:48:12Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-e24a9d75361b4175b48d6ca706197c4c2022-12-21T22:22:24ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011280200310.1051/matecconf/201712802003matecconf_eitce2017_02003Multi-objective Particle Swarm Optimization Based Image Watermarking SchemeFu YongGangWang HuiRongChen LizhenJiang YunfeiA novel image watermarking scheme based on the statistics of the blocked DCT coefficients. The watermark is embedded into the middle frequency of those DCT coefficients by modulating the number of those positive and negative coefficients. In order to achieve better robustness and imperceptibility, multi-objective particle swarm optimization (MPSO) has been used in the watermark embedding and extracting procedure. The particle swarm optimization is applied to obtain optimum multiple scaling factors and the embedding strength. The experimental results show that the proposed scheme has significant improvement in term of imperceptibility and robustness under various general attacks.https://doi.org/10.1051/matecconf/201712802003 |
| spellingShingle | Fu YongGang Wang HuiRong Chen Lizhen Jiang Yunfei Multi-objective Particle Swarm Optimization Based Image Watermarking Scheme MATEC Web of Conferences |
| title | Multi-objective Particle Swarm Optimization Based Image Watermarking Scheme |
| title_full | Multi-objective Particle Swarm Optimization Based Image Watermarking Scheme |
| title_fullStr | Multi-objective Particle Swarm Optimization Based Image Watermarking Scheme |
| title_full_unstemmed | Multi-objective Particle Swarm Optimization Based Image Watermarking Scheme |
| title_short | Multi-objective Particle Swarm Optimization Based Image Watermarking Scheme |
| title_sort | multi objective particle swarm optimization based image watermarking scheme |
| url | https://doi.org/10.1051/matecconf/201712802003 |
| work_keys_str_mv | AT fuyonggang multiobjectiveparticleswarmoptimizationbasedimagewatermarkingscheme AT wanghuirong multiobjectiveparticleswarmoptimizationbasedimagewatermarkingscheme AT chenlizhen multiobjectiveparticleswarmoptimizationbasedimagewatermarkingscheme AT jiangyunfei multiobjectiveparticleswarmoptimizationbasedimagewatermarkingscheme |