Wavelet-based statistical signal processing using hidden Markovmodels
IEEE Transactions on Signal Processing
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
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Modeling active steganalysis as a BSS problem we propose two active steganalysis schemes which only use one copy of stego image in this letter. We firstly adopt wavelet hidden Markov tree model to obtain an estimate of cover image and then use ICA algorithm to solve this BSS problem. The schemes overcome the unreasonable presupposition of Chandramouli's method which needs two copies of stego images. Experiment results show that proposed schemes achieve good performance on estimate of message carrier and acceptable performance on estimate of cover image.