Most of the quantization based watermarking algorithms are very sensitive to valumetric distortions, while these distortions are regarded as common processing in audio/video analysis. In recent years, watermarking met...Most of the quantization based watermarking algorithms are very sensitive to valumetric distortions, while these distortions are regarded as common processing in audio/video analysis. In recent years, watermarking methods which can resist this kind of distortions have attracted a lot of interests. But still many proposed methods can only deal with one certain kind of valumetric distortion such as amplitude scaling attack, and fail in other kinds of valumetric distortions like constant change attack, gamma correction or contrast stretching. In this paper, we propose a simple but effective method to tackle all the three kinds of valumetric distortions. This algorithm constructs an invariant domain first by spread transform which satisfies certain constraints. Then an amplitude scale invariant watermarking scheme is applied on the constructed domain. The validity of the approach has been confirmed by applying the watermarking scheme to Gaussian host data and real images. Experimental results confirm its intrinsic invariance against amplitude scaling, constant change attack and robustness improvement against nonlinear valumetric distortions.展开更多
Data hiding plays an important role in privacy protection and authentication,but most data hiding methods fail to achieve satisfactory performance in resisting scaling attacks and additive attacks.To this end,this pap...Data hiding plays an important role in privacy protection and authentication,but most data hiding methods fail to achieve satisfactory performance in resisting scaling attacks and additive attacks.To this end,this paper proposes a new quantization index modulation(QIM)variant based on division domains(D-QIM).It can not only resist the above two attacks well,but also adjust the performance trade-offs by controlling the parameters.Simulation results confirm the performance gain of D-QIM in terms of the bit error rate(BER).展开更多
基金supported by National Nature Science Foundation of China(Nos.61303262 and U1536120)
文摘Most of the quantization based watermarking algorithms are very sensitive to valumetric distortions, while these distortions are regarded as common processing in audio/video analysis. In recent years, watermarking methods which can resist this kind of distortions have attracted a lot of interests. But still many proposed methods can only deal with one certain kind of valumetric distortion such as amplitude scaling attack, and fail in other kinds of valumetric distortions like constant change attack, gamma correction or contrast stretching. In this paper, we propose a simple but effective method to tackle all the three kinds of valumetric distortions. This algorithm constructs an invariant domain first by spread transform which satisfies certain constraints. Then an amplitude scale invariant watermarking scheme is applied on the constructed domain. The validity of the approach has been confirmed by applying the watermarking scheme to Gaussian host data and real images. Experimental results confirm its intrinsic invariance against amplitude scaling, constant change attack and robustness improvement against nonlinear valumetric distortions.
基金supported in part by the National Natural Science Foundation of China (61902149,61932010 and 62032009)the Natural Science Foundation of Guangdong Province (2020A1515010393).
文摘Data hiding plays an important role in privacy protection and authentication,but most data hiding methods fail to achieve satisfactory performance in resisting scaling attacks and additive attacks.To this end,this paper proposes a new quantization index modulation(QIM)variant based on division domains(D-QIM).It can not only resist the above two attacks well,but also adjust the performance trade-offs by controlling the parameters.Simulation results confirm the performance gain of D-QIM in terms of the bit error rate(BER).
