A quantization Watermarking technique robust to linear and non-linear valumetric distortions using a fractal set of floating quantizers

International audienceThis paper presents an extension of the classical Quanti- zation Index Modulation (QIM) data-hiding scheme in the context of valumetric distortions. This scheme uses a fractal quantization structure during the detection but also a content dependent quantization grid to achieve both global constant robustness and the ability to recover the wa- termark after non-linear valumetric distortions. Previous works are first presented. Then the construction of a floating quantizer that addresses the problem of non-linear transformations is introduced. The embedding and detection schemes for digital image watermarking are afterward in- troduced, the main characteristic of this scheme is the fact that the detection scheme can use a hierarchical set of quantizers to deal with non-linear valumetric transforms while preserving an average constant quantization step. Finally the performance of this scheme and the com- parison with other robust quantization schemes considering valumetric transforms and noise addition are presented