Image steganography based on LSBMR using Sobel edge detection

Abstract

Steganography is the science of embedding confidential data inside data so they can be sent to destination without suspicion. Image-steganography is the most popular type of carrier to hold information. Many algorithms have been proposed to hide information into digital images. The least significant bit algorithm (LSB) is one of these algorithms that is widely used in steganography. Several improvements of this algorithm have been proposed recently. In this paper we study and analyze the LSB matching revisited (LSBMR) algorithm and the edge adaptive image steganography based on LSBMR. We conduct several experiments on these algorithms on a set of 200 images and we show that an improvement can be made by using some image processing technique called Sobel edge detection to find edges of the images that can hold the secret information. We show that the proposed technique can improve the quality of the steganography images where sharper edges are used for low capacity rate.