Steganography of uncompressed images based on Arnold's chaotic map

Abstract

Steganography can be defined as a technique to insert information into a digital format that can be an image, video, sound or text, in an imperceptibly way. In addition to its applications in the embedding of information, steganography tends increasingly to be used to perform other security functions. In this work, we propose a novel method of steganography in uncompressed images using a Pseudo Random Number Generator to generate a sequence of positions in the cover image and the Arnold’s Cat Map method. The method that we propose involves two main steps: firstly, selection of the areas that can be including the information based on the primitive root technique. Then, we apply the Arnold’s cat map to shuffle the cover image pixels to obtain a novel sequence of pixels in the same selected positions that minimize the visual degradation