000054830 001__ 54830
000054830 005__ 20180318102806.0
000054830 0247_ $$2doi$$a10.1109/TMM.2005.846781
000054830 02470 $$2DAR$$a7585
000054830 02470 $$2ISI$$a000230607000013
000054830 037__ $$aARTICLE
000054830 245__ $$aOn the Use of Masking Models for Image and Audio Watermarking
000054830 269__ $$a2005
000054830 260__ $$c2005
000054830 336__ $$aJournal Articles
000054830 520__ $$aIn most watermarking systems, masking models, inherited from data compression algorithms, are used to preserve fidelity by controlling the perceived distortion resulting from adding the watermark to the original signal. So far, little attention has been paid to the consequences of using such models on a key design parameter: the robustness of the watermark to intentional attacks. The goal of this paper is to demonstrate that by considering fidelity alone, key information on the location and strength of the watermark may become available to an attacker; the latter can exploit such knowledge to build an effective mask attack. First, defining a theoretical framework in which analytical expressions for masking and watermarking are laid, a relation between the decrease of the detection statistic and the introduced perceptual distortion is found for the mask attack. The latter is compared to the Wiener filter attack. Then, considering masking models widely used in watermarking, experiments on both simulated and real data (audio and images) demonstrate how knowledge on the mask enables to greatly reduce the detection statistic, even for small perceptual distortion costs. The critical tradeoff between robustness and distortion is further discussed, and conclusions on the use of masking models in watermarking drawn.
000054830 6531_ $$aIVRG
000054830 6531_ $$awatermarking
000054830 6531_ $$amasking model
000054830 6531_ $$aattacks
000054830 6531_ $$amask attack
000054830 6531_ $$amasking model
000054830 6531_ $$arobustness
000054830 6531_ $$aWiener attack
000054830 6531_ $$amasking model
000054830 700__ $$aRobert, Arnaud
000054830 700__ $$aPicard, Justin
000054830 773__ $$j7$$k4$$q727-739$$tIEEE Transactions on Multimedia
000054830 8564_ $$s854791$$uhttps://infoscience.epfl.ch/record/54830/files/RobertP05.pdf$$yn/a$$zn/a
000054830 909CO $$ooai:infoscience.tind.io:54830$$pSTI$$pIC$$particle
000054830 909C0 $$0252053$$pLA
000054830 909C0 $$0252097$$pLANOS$$xU10425
000054830 909C0 $$0252320$$pIVRL$$xU10429
000054830 917Z8 $$x114218
000054830 917Z8 $$x125681
000054830 917Z8 $$x125681
000054830 917Z8 $$x114218
000054830 937__ $$aLCAV-ARTICLE-2005-028
000054830 937__ $$aLANOS-ARTICLE-2005-010
000054830 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000054830 980__ $$aARTICLE