Analysis of Spatial Domain Image Steganography Technique for high-capacity

At present, data security over public communication channel is a major issue. Image steganography technique hide the original data from the unintended user while transferring it over the public channel. Several techniques are present to facilitate secure communication. In this article, sudoku matrix, genetic algorithm, and particle swarm optimization algorithm based steganography technique considered for detail study based on various qualitative parameters. The parameters are maximum embedding capacity (EC),highest embedding rate (ER), and peak-signal-noise ratio (PSNR). Using qualitative matrices, the analysis of the capacity, security, and robustness carried out. The EC of 1,608,070 bits at embedding rate of 4.0 bpp is achieved. PSNR 57.17 dB implies that distortion in original image is nearly indistinguishable by human vision system (HVS). So, experimental results confirm robustness of the technique against HVS.