SUMMARY For the digital watermarking patchwork algorithm originally given by Bender et al., this paper proposes two improvements applicable to audio watermarking. First, the watermark embedding strength is psychoacoustically adapted, using the Bark frequency scale. Second, whereas previous approaches leave the samples that do not correspond to the data untouched, in this paper, these are modified to reduce the probability of misdetection, a method called full index embedding. In simulations, the proposed combination of these two proposed methods has higher resistance to a variety of attacks than prior algorithms. key words: audio watermarking, patchwork, DWPT (discrete wavelet packet transform), psychoacoustic model

No abstract

No abstract

Brain surface i皿aging by the multi ang ' le surface anatomy scanni 皿g

No abstract