An Experiment Towards the Detectability of Image Steganography Without Using Classifier

Image steganography become one of the important fields of cybersecurity. It studies the potential of multimedia security in order to protect confidential information In general. In specific, it belongs to information hiding. However, Image steganography process results in stego images. In this study, two main experiments of image steganography detectability without using classifier with help of Image Processing, Image Quality, Feature Extraction, and Significant Statistical Measure. Several features involves one or many parameters that help to study experimental images. For example: Image histogram, Detection line, Structural Similarity Index Measures (SSIM), And Sum of Arrays Index (Sums). Although, It study the functionality of Image features to highlight the process of its detectability.