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Enhancing Image Watermarking With Adaptive Embedding Parameter and PSNR Guarantee

文献类型：期刊论文

作者Huang, Ying1; Niu, Baoning1; Guan, Hu2; Zhang, Shuwu2,3
刊名IEEE TRANSACTIONS ON MULTIMEDIA
出版日期2019-10-01
卷号21期号:10页码:2447-2460
关键词Adaptive watermarking differential quantization image watermarking spread spectrum
ISSN号1520-9210
DOI10.1109/TMM.2019.2907475
通讯作者Niu, Baoning(niubaoning@tyut.edu.cn)
英文摘要Watermarking plays an important role in identifying the copyright of an image and related issues. The state-of-the-art watermark embedding schemes, spread spectrum and quantization, suffer from host signal interference (HSI) and scaling attacks, respectively. Both of them use a fixed embedding parameter, which is difficult to take both robustness and imperceptibility into account for all images. This paper solves the problems by proposing two novel blind watermarking schemes: a spread spectrum scheme with adaptive embedding strength (SSAES) and a differential quantization scheme with adaptive quantization threshold (DQAQT). Their adaptiveness comes from the proposed adaptive embedding strategy (AEP), which maximizes the embedding strength or quantization threshold by guaranteeing the peak signal-to-noise ratio (PSNR) of the host image after embedding the watermark, and strikes the balance between robustness and imperceptibility. SSAES is HSI free by factoring in the priori knowledge about HSI. In DQAQT, an effective quantization mode is proposed to resist scaling attacks by utilizing the difference between two selected DCT coefficients with high stability. Both SSAES and DQAQT can be easily applied to other watermarking frameworks. We introduce a notion called error threshold to theoretically analyze the performance of our proposed methods in details. The experimental results consistently demonstrate that SSAES and DQAQT outperform the state-of-the-art methods in terms of imperceptibility, robustness, computational cost, and adaptability.
WOS关键词SINGULAR-VALUE DECOMPOSITION ; ROBUST ; SCHEME ; DOMAIN ; TRANSFORM ; FRAMEWORK ; DECODER
资助项目National Key R&D Program of China[2017YFB1401000] ; Key Laboratory of Digital Rights Services
WOS研究方向Computer Science ; Telecommunications
语种英语
WOS记录号WOS:000489728400002
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key R&D Program of China ; Key Laboratory of Digital Rights Services
源URL[http://ir.ia.ac.cn/handle/173211/26435]  
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
自动化研究所_数字内容技术与服务研究中心
通讯作者Niu, Baoning
作者单位1.Taiyuan Univ Technol, Sch Informat & Comp, Taiyuan 030024, Shanxi, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
3.Beijing Film Acad, Adv Innovat Ctr Future Visual Entertainment, Beijing 100088, Peoples R China
推荐引用方式
GB/T 7714		 Huang, Ying,Niu, Baoning,Guan, Hu,et al. Enhancing Image Watermarking With Adaptive Embedding Parameter and PSNR Guarantee[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2019,21(10):2447-2460.
APA Huang, Ying,Niu, Baoning,Guan, Hu,&Zhang, Shuwu.(2019).Enhancing Image Watermarking With Adaptive Embedding Parameter and PSNR Guarantee.IEEE TRANSACTIONS ON MULTIMEDIA,21(10),2447-2460.
MLA Huang, Ying,et al."Enhancing Image Watermarking With Adaptive Embedding Parameter and PSNR Guarantee".IEEE TRANSACTIONS ON MULTIMEDIA 21.10(2019):2447-2460.

入库方式： OAI收割

来源：自动化研究所

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