A Robust Steganography Structure Using a Nested Linear Code

Matrix embedding is a high performance technique for steganography. In the paper, we present one new approaches to matrix embedding based on a convolutional code binary nested embedding scheme. This scheme offers a practical method to realization of embedding algorithm and minimizes the average modified distortion by use of Viterbi quantizer between stego and host object. The novel algorithm performs an embedding procedure through a trellis structure based on generator matrix. Systematic convolutional code and nested structure are adopted to achieve realization of embedding algorithm. In this work, the coding technique proposed is validated as a simple and efficient algorithm.