Analysis of Modified LSB Approaches of Hiding Information in Digital Images

Abstract

Steganography is the idea of hiding private, confidential, sensitive data or information within something that appears to be nothing out of the normal. In this paper we describe on how one can use the human vision system and pure steganography to increase the size of the data that we want to embed in the image. In this analysis, we focuses on the property of human vision system that help to increase the amount of data hiding in the bitmap (.bmp) and JPEG (.JPG) images practically. In this work, we enhance the work of LSB and try to come out with a better result for both image quality and the amount of data can be hidden inside it. We come out with two approaches; first one is the 3-3-2 approach without any limitations on the type of images being used and can reach up to 33.3% of size of hidden data, and the second one is the 4-4-4 approach which increase the amount up to 50% of hidden data from the size of image but with certain limitations on the type of images chosen.