WANG Mian,YANG Yu,LEI Min.Improved Spread Transform Dither Modulation based on Watson Vision Model[J].Journal of Chengdu University of Information Technology,2017,(03):254-258.[doi:10.16836/j.cnki.jcuit.2017.03.004]
STDM图像水印改进算法
- Title:
- Improved Spread Transform Dither Modulation based on Watson Vision Model
- 文章编号:
- 2096-1618(2017)03-0254-05
- 关键词:
- STDM改进; Watson视觉模型
- Keywords:
- improvement of STDM; watson vision model
- 分类号:
- TP301.6
- 文献标志码:
- A
- 摘要:
- 扩展变换抖动调制(spread transform dither modulation,STDM)水印算法在鲁棒性、隐藏容量及盲检测等方面具有良好的性能。为实现水印算法鲁棒性和透明性的相对平衡统一,在研究Watson视觉模型和STDM算法原理的基础上,对STDM水印算法中投影向量的选取和构造进行改进,提出一种基于Watson视觉模型的STDM图像水印改进算法。仿真实验结果表明,基于Watson视觉模型的STDM改进算法在抵抗JPEG攻击时,能够在不显著降低透明性的情况下,提升其鲁棒性和综合性能。
- Abstract:
- Spread Transform Dither Modulation(STDM)watermarking algorithm has a good performance in robustness, capacity and blind detection. For balance and unity of watermarking algorithm's robustness and transparency, this paper made some improvements on select and construct of project vector of STDM based on research of Watson vision model, and then proposed an improved STDM algorithm. Simulation and experimental results show that the proposed algorithm has an improvement on robustness under the JPEG attack.
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备注/Memo
收稿日期:2017-05-02 基金项目:国家重点研发计划课题资助项目(2016YFF0204001); 国家自然科学基金资助项目(61121061)