Yuwei Chen1, 2, Yuling Chen1, *, Yu Yang1, 2, Xinda Hao2, Ning Wang2
CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1259-1271, 2020, DOI:10.32604/cmc.2020.06723
Abstract Local binary pattern (LBP) is one of the most advanced image classification
recognition operators and is commonly used in texture detection area. Research indicates
that LBP also has a good application prospect in steganalysis. However, the existing
LBP-based steganalysis algorithms are only capable to detect the least significant bit
(LSB) and the least significant bit matching (LSBM) algorithms. To solve this problem,
this paper proposes a steganalysis model called msdeLTP, which is based on multi-scale
local ternary patterns (LTP) and derivative filters. The main characteristics of the
msdeLTP are as follows: First, to reduce the interference of image content on… More >
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