Analysis of Steganography Techniques using Least Significant Bit in Grayscale Images and its Extension to Colour Images
Aqsa Rashid
Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Pakistan.
Malik Muhammad Saad Missen
Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Pakistan.
Nadeem Salamat *
Department of Mathematics and Statistics, Karakoram International University, Gilgit, Pakistan.
*Author to whom correspondence should be addressed.
Abstract
Image steganography conceals the furtive information into images in such a way that perceptually images are impossible to differentiate and visual features remains similar, but statistical features have some alteration. This method are developed for the secure communication over the internet. In this paper, the sequential Least Significant Bit (LSB) substitution method for every possible location in pixel is analyzed. The statistical measures compute the image quality. These measures show that message substituted in the eighth bit (Least bit) has the fewer visual and statistical effects on the image quality.
Keywords: Stegnography, LSB techniques, LSB, statistical measures for comparison.