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Impact of Pulse Coupled Neural Network Parameters on Image Steganography

The paper deals with impact verification of Optimized Model of Pulse Coupled Neural Network (OM- PCNN) parameters on spatial domain image steganography. The main advantage of OM-PCNN is a reduced number of parameters by preserving the robustness against a noise and geometrical transformations of an image. The OM-PCNN robustness against noise is a key attribute in process of embedding the hidden message to a cover image. The search for suitable key parameters and the minimization of the required time of searching is the main goal of our research. Presented results of optimization claim that maintain the robustness of generated binary matrices is mainly affected by only one key parameter. Other parameters can be set by the calculation or by the qualified estimation.