A steganographic method called adjacent bin mapping (ABM) is presented. Firstly, it is applied to 3D geometries by mapping\r\nthe coordinates within two adjacent bins for data embedding. When applied to digital images, it becomes a kind of LSB hiding,\r\nnamely the LSB+ algorithm. In order to prevent the detection using a metric named histogram tail, the hiding is performed in a\r\npseudorandom order. Then we show that the steganalytic algorithms based on histogram characteristic function (HCF) can be\r\nprevented by implementing the LSB+ algorithm on subsets of pixels having the same neighbor values. The experimental results\r\nshow that important high-order statistics of the cover image are preserved in this way while little distortion is introduced to 3D\r\ngeometric models with an appropriate bin size
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