Robust Texture-Aware Local Adaptive Image Watermarking With Perceptual Guarantee
文献类型：期刊论文
| 作者 | Huang, Ying1,3 ; Guan, Hu1; Liu, Jie1; Zhang, Shuwu1,3; Niu, Baoning2; Zhang, Guixuan1
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| 刊名 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
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| 出版日期 | 2023-09-01 |
| 卷号 | 33期号:9页码:4660-4674 |
| 关键词 | Adaptive image watermarking image texture imperceptibility robustness |
| ISSN号 | 1051-8215 |
| DOI | 10.1109/TCSVT.2023.3245650 |
| 通讯作者 | Liu, Jie(jie.liu@ia.ac.cn) |
| 英文摘要 | Watermarking involves embedding a watermark in an image and later extracting it to prove the image's copyright. In most cases, a complete image contains both smooth and textured regions. As a rule of thumb, the visual quality of an image with a watermark embedded in its textured regions is better than that of the same image with a watermark in smooth regions. This paper, by taking advantage of the fact, proposes a texture-aware local adaptive watermarking algorithm to maximize the watermark's robustness while maintaining its imperceptibility. To identify textured regions in an image, we introduce the texture value, an efficient and proper metric of the richness of image texture. It combines the texture correlation of the AC coefficients, the luminance masking of the DC coefficient, and the distribution of image texture. A watermark is embedded adaptively into multiple non-overlapping textured regions of an image under the specified SSIM condition. Its adaptiveness comes from a novel texture-aware adaptive parameter model derived by multivariate regression analysis. Correct extraction of watermarks from multiple textured regions can be done by the cooperation of embedding and extraction strategies, with the assistance of RS-based watermark coding model. They allow for greater robustness, faster extraction, and adjustable watermark capacity. The simulation experiments on 100 images demonstrate that our proposed algorithm outperforms state-of-the-art algorithms with respect to imperceptibility, robustness, and adaptability. |
| WOS关键词 | LEVEL COOCCURRENCE MATRIX ; COLOR ; FEATURES ; SCHEME ; HISTOGRAM |
| 资助项目 | National Key Research and Development Program of China[2021YFF0900100] ; Key Research and Development Program of Shaanxi Province[202102010101004] ; Beijing Digital Content Engineering Research Center ; Laboratory of Digital Rights Services |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001063316800019 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Program of China ; Key Research and Development Program of Shaanxi Province ; Beijing Digital Content Engineering Research Center ; Laboratory of Digital Rights Services |
| 源URL | [http://ir.ia.ac.cn/handle/173211/53119]  |
| 专题 | 数字内容技术与服务研究中心_新媒体服务与管理技术 |
| 通讯作者 | Liu, Jie |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Taiyuan Univ Technol, Sch Informat & Comp, Taiyuan 030024, Peoples R China 3.Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing 100876, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Ying,Guan, Hu,Liu, Jie,et al. Robust Texture-Aware Local Adaptive Image Watermarking With Perceptual Guarantee[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2023,33(9):4660-4674. |
| APA | Huang, Ying,Guan, Hu,Liu, Jie,Zhang, Shuwu,Niu, Baoning,&Zhang, Guixuan.(2023).Robust Texture-Aware Local Adaptive Image Watermarking With Perceptual Guarantee.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,33(9),4660-4674. |
| MLA | Huang, Ying,et al."Robust Texture-Aware Local Adaptive Image Watermarking With Perceptual Guarantee".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 33.9(2023):4660-4674. |
入库方式： OAI收割
来源：自动化研究所
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