Edge Adaptive Image Steganography Based on LSB Matching Revisited

By Weiqi Luo, Fangjun Huang, Jiwu Huang. IEEE Transactions on Information Forensics and Security, 2010

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Universal distortion function for steganography in an arbitrary domain (2014, methodology): “1 Spatial domain In the spatial domain, we compare the proposed method with HUGO [15], HUGO implemented using the Gibbs construction with bounding distortion (HUGO BD) [4], WOW [17], LSB matching (LSBM), and the edge-adaptive (EA) algorithm [28] With the exception of the EA algorithm, in which the c”
Selection-channel-aware rich model for Steganalysis of digital images (2014, methodology): “In 2010, the Edge Adaptive scheme was designed to hide data in pixel pairs with large differences [16].”
HiNet: Deep Image Hiding by Invertible Network (2021, methodology): “Thus, the steganalysis methods [11, 16, 19] can easily detect the existence of secret information hidden by LSB.”
Ensemble Classifiers for Steganalysis of Digital Media (2012, background): “Because modern steganography [15], [35], [41] places embedding changes in those regions of images that are hard to model, increasingly more complex statistical descriptors of covers are required to capture a larger number of (weaker) dependencies among cover elements that might be disturbed by embed”