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Pixel-Value-Ordering Based Reversible Data Hiding with Adaptive Texture Classification and Modification.

, , , and . IWDW, volume 11378 of Lecture Notes in Computer Science, page 169-179. Springer, (2018)

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Rate and Distortion Optimization for Reversible Data Hiding Using Multiple Histogram Shifting., , , and . IEEE Trans. Cybern., 47 (2): 315-326 (2017)Structural Design of Convolutional Neural Networks for Steganalysis., , and . IEEE Signal Process. Lett., 23 (5): 708-712 (2016)On YASS's Non-monotonic Security Performance., , , and . CSSP, 33 (11): 3527-3537 (2014)Smoothing identification for digital image forensics., , , and . Multim. Tools Appl., 78 (7): 8225-8245 (2019)Transportation Spherical Watermarking., , and . IEEE Trans. Image Process., 27 (4): 2063-2077 (2018)Using RZL Coding to Enhance Histogram-Pair Based Image Reversible Data Hiding., , , , and . IWDW, volume 8389 of Lecture Notes in Computer Science, page 153-166. Springer, (2013)Comparison of DCT and Gabor Filters in Residual Extraction of CNN Based JPEG Steganalysis., , , , and . IWDW, volume 11378 of Lecture Notes in Computer Science, page 29-39. Springer, (2018)New JPEG Steganographic Scheme with High Security Performance., , and . IWDW, volume 6526 of Lecture Notes in Computer Science, page 189-201. Springer, (2010)Dynamic content selection-and-prediction framework applied to reversible data hiding., , and . WIFS, page 1-6. IEEE, (2016)Constant-quality constrained-rate allocation for FGS video coded bitstreams., , , and . VCIP, volume 4671 of Proceedings of SPIE, page 817-827. SPIE, (2002)