Towards improving the performance of blind image steganalyzer using third-order SPAM features and ensemble classifier
The success rate for blind or universal steganalysis lies in the ability to extract the statistical
footprints of image features. Further, the choice of machine learning (ML) algorithm is crucial …
footprints of image features. Further, the choice of machine learning (ML) algorithm is crucial …
Towards improving the performance of blind image steganalyzer using third-order SPAM features and ensemble classifier
J Hemalatha, M Sekar, C Kumar, A Gutub, AK Sahu - 2023 - dl.acm.org
The success rate for blind or universal steganalysis lies in the ability to extract the statistical
footprints of image features. Further, the choice of machine learning (ML) algorithm is crucial …
footprints of image features. Further, the choice of machine learning (ML) algorithm is crucial …