Random embedded calibrated statistical blind steganalysis using cross validated support vector machine and support vector machine with particle swarm optimization

HIGHLIGHTS

• who: Deepa D. Shankar from the Abu Dhabi University have published the research work: Random embedded calibrated statistical blind steganalysis using cross validated support vector machine and support vector machine with particle swarm optimization, in the Journal: Scientific Reports Scientific Reports
• what: The aim of the preprocessing step is to curb the irrelevant distortions and to enhance the features essential for efficient image analysis.
• how: The steganographic algorithms used in the work is classified into two main domains spatial domain and transform domain. The global histogram used in the research is normalized to . . .
  

   

  

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