Towards Image Steganography Using Type-2 Fuzzy Logic and Edge Detection

Abstract

Steganography is an art and a science to hide the existence of secret communication from the third party. The communication is only known to sender and receiver. For hiding messages, various types of media are used. Image steganography is the technique that uses an image to conceal information. However, image steganography face very high uncertainty levels. In this paper, we will present work in progress to employ image steganography using the Least-Significant-Bit (LSB) method to embed the secret message in an image cover. We will use type-2 fuzzy logic systems and edge detection techniques to increase edge pixels, and embed more secret data into the edge pixels than the non-edge pixels based on the Least Significant Bit (LSB) substitution technique. The performance of the proposed method will be evaluated by comparing both the original image and stego image using metrics like Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE) and Histograms.