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This work presents the adequacy of a dense texture analysis algorithm based on sum and difference histograms (SDHs) into a reconfigurable architecture. A deep analysis of the SDHs algorithm helps found a significant reduction in operations, size and access memory which consequently optimize resources, memory and latency time during the implementation.(More)
In this paper an improvement to the steganalysis based on statistical moments of wavelet characteristic function (SMWCF) and artificial neural network (ANN) as classifier is presented, previous experiments have showed that this steganalysis system has a good performance in the detection of stego-image created by different steganography algorithms, but it(More)
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