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Selecting Optimal Submatrix for Syndrome-Trellis Codes (STCs)-Based Steganography with Segmentation
2020
IEEE Access
Syndrome-Trellis Codes (STC), as the de facto state-of-the-art steganography framework, has drawn huge attention recently. However, the original STC merely developed with the general form of cover and message, and almost all the subsequent improvements for STC focused on the cover selection and design of the distortion cost function. How to select the optimal submatrix by the features for the given cover and message is an important issue and requires to be solved urgently. In this work, we
doi:10.1109/access.2020.2983869
fatcat:lk5l3np4vveu5eynxs6ms7p2ae