Enhancing Image Watermarking With Adaptive Embedding Parameter and PSNR Guarantee

doi:10.1109/TMM.2019.2907475

	Enhancing Image Watermarking With Adaptive Embedding Parameter and PSNR Guarantee
	Huang, Ying 1; Niu, Baoning 1; Guan, Hu2 ; Zhang, Shuwu2,3
刊名	IEEE TRANSACTIONS ON MULTIMEDIA
	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
DOI	10.1109/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.
资助项目	National Key R&D Program of China[2017YFB1401000] ; Key Laboratory of Digital Rights Services
WOS关键词	SINGULAR-VALUE DECOMPOSITION ; ROBUST ; SCHEME ; DOMAIN ; TRANSFORM ; FRAMEWORK ; DECODER
WOS研究方向	Computer Science ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000489728400002
资助机构	National Key R&D Program of China ; Key Laboratory of Digital Rights Services
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/26435]
专题	中国科学院自动化研究所
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.