An Implementation of Key-Based Digital Signal Steganography
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Detecting LSB matching by applying calibration technique for difference image
Proceedings of the 10th ACM workshop on Multimedia and security
Near-optimal solution to pair-wise LSB matching via an immune programming strategy
Information Sciences: an International Journal
Edge adaptive image steganography based on LSB matching revisited
IEEE Transactions on Information Forensics and Security
IH'05 Proceedings of the 7th international conference on Information Hiding
B-spline signal processing. I. Theory
IEEE Transactions on Signal Processing
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Least significant bit matching revisited steganography (LSBMR) is a significant improvement of the well-known least significant bit matching algorithm. In this paper, we point out that LSBMR for consecutive pixels and its descendants, including the edge adaptive image steganography based on LSBMR, introduces intrinsic statistical imbalance in secret data embedding process, which results in the imbalance of the power of the additive stegonoise. This intrinsic imbalance can be used to construct a dimensionless discriminator using B-spline smoothing. Experimental results show that the proposed steganalytic method is a reliable detector against LSBMR for consecutive pixels and the edge adaptive image steganography based on LSBMR when block size is 1. An embedding rate estimator based on B-spline functions which can roughly estimate the embedding rate is proposed as well.