A STEGANOGRAPHY TECHNIQUE FOR HIDING IMAGE IN IMAGE USING LSB MATCHING REVISITED

Abstract

The LSB (Least significant bit) approach is very popular when it comes to steganographic algorithms especially in spatial domain. In most of the existing approaching methods, the obvious choice is to select embedding positions within a cover image mainly have a influence on a pseudorandom number generation without consideration the relationship of size of the secret message and image content itself. Therefore flat regions in the cover image will inevitable be mixed after data hiding even at a tiny embedding rate which may results in poor visual quality or maybe even a low security based on a results of extending research. The usage of LSB matching revisited image steganography with added advantage of edge adaptive scheme.