Robust Texture-Aware Local Adaptive Image Watermarking With Perceptual Guarantee

doi:10.1109/TCSVT.2023.3245650

CORC > 自动化研究所 > 中国科学院自动化研究所 > 数字内容技术与服务研究中心 > 新媒体服务与管理技术

	Robust Texture-Aware Local Adaptive Image Watermarking With Perceptual Guarantee
	Huang, Ying 1,3; Guan, Hu 1; Liu, Jie 1; Zhang, Shuwu 1,3; Niu, Baoning 2; Zhang, Guixuan 1
刊名	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
	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.
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关键词	LEVEL COOCCURRENCE MATRIX ; COLOR ; FEATURES ; SCHEME ; HISTOGRAM
WOS研究方向	Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:001063316800019
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
内容类型	期刊论文
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.