Title:
EFFICIENT-DECODING-OF-WATERMARKING
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- 2013-03-02
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Description: In this work, we treat the problem of recovering the correct message if
extra bits (false alarms) are added to the body of the message at random locations. This
situation is common for some watermarking systems with selective embedding which is
typical when the human visual (or audio) system is incorporated to enhance the quality of
the watermarking system. We propose an efficient decoding scheme for convolutional
codes using some modifications of‘ the Viterbi algorithm. Extra states are added to
represent the possible false alarms and a new expansion algorithm of the modified trellis
diagram is proposed. The simulation results show the high efficiency of our algorithm in
detecting random false alarms with high rates.
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