CASIA OpenIR
Enhancing Image Watermarking With Adaptive Embedding Parameter and PSNR Guarantee
Huang, Ying1; Niu, Baoning1; Guan, Hu2; Zhang, Shuwu2,3
Source PublicationIEEE TRANSACTIONS ON MULTIMEDIA
ISSN1520-9210
2019-10-01
Volume21Issue:10Pages:2447-2460
Corresponding AuthorNiu, Baoning(niubaoning@tyut.edu.cn)
AbstractWatermarking 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.
KeywordAdaptive watermarking differential quantization image watermarking spread spectrum
DOI10.1109/TMM.2019.2907475
WOS KeywordSINGULAR-VALUE DECOMPOSITION ; ROBUST ; SCHEME ; DOMAIN ; TRANSFORM ; FRAMEWORK ; DECODER
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2017YFB1401000] ; Key Laboratory of Digital Rights Services
Funding OrganizationNational Key R&D Program of China ; Key Laboratory of Digital Rights Services
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS IDWOS:000489728400002
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/26436
Collection中国科学院自动化研究所
Corresponding AuthorNiu, Baoning
Affiliation1.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
Recommended Citation
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.
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