Robust Texture-Aware Local Adaptive Image Watermarking With Perceptual Guarantee
Huang, Ying1,2; Guan, Hu2; Liu, Jie2; Zhang, Shuwu1,2; Niu, Baoning3; Zhang, Guixuan2
发表期刊IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
ISSN1051-8215
2023-09-01
卷号33期号:9页码:4660-4674
通讯作者Liu, Jie(jie.liu@ia.ac.cn)
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.
关键词Adaptive image watermarking image texture imperceptibility robustness
DOI10.1109/TCSVT.2023.3245650
关键词[WOS]LEVEL COOCCURRENCE MATRIX ; COLOR ; FEATURES ; SCHEME ; HISTOGRAM
收录类别SCI
语种英语
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
项目资助者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
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:001063316800019
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/53120
专题数字内容技术与服务研究中心_版权智能与文化计算
通讯作者Liu, Jie
作者单位1.Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing 100876, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
3.Taiyuan Univ Technol, Sch Informat & Comp, Taiyuan 030024, Peoples R China
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Huang, Ying]的文章
[Guan, Hu]的文章
[Liu, Jie]的文章
百度学术
百度学术中相似的文章
[Huang, Ying]的文章
[Guan, Hu]的文章
[Liu, Jie]的文章
必应学术
必应学术中相似的文章
[Huang, Ying]的文章
[Guan, Hu]的文章
[Liu, Jie]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。