CONCEPTUAL DESIGN OF EDGE ADAPTIVE STEGANOGRAPHY SCHEME BASED ON ADVANCED LSB ALGORITHM

This research article outlines the efficient algorithm in which secrete data are embedded in edge regions of the image. Here region selection to tally depending on size of the secrete message. If less information to be embedded, then sharp regions in the image are selected for embedding bits. If the size of secrete information is large, then the more edge regions are released to accommodate all the secrete bits. This means that edge regions are selected adaptively with the size of the secrete message. Our work focuses on inserting the bits we used Least Significant Bit Matching Revisited (LSBMR) scheme and consider the relationship between characteristics of the region and size of the secrete message. And also this paper proposes to preserve higher visual quality of the stego image.