Data Hiding Method Based on Dyadic Wavelet Transformation Improving Invisibility of Secret Images on Circulation Images by Means of Run-Length Coding with Permutation Matrix Based on Random Number

Abstract

An attempt is made for improvement of secret image invisibility in circulation images with dyadic wavelet based data hiding with run-length coded secret images of which location of codes are determined by random number. Through experiments, it is confirmed that secret images are almost invisible in circulation images. Also robustness of the proposed data hiding method against data compression of circulation images is discussed. Data hiding performance in terms of invisibility of secret images which are embedded in circulation images is evaluated with the Root Mean Square difference between the original secret image and extracted one from the circulation images. Mean while the conventional Multi- Resolution Analysis (MRA) based data hiding is attempted with a variety of parameters, level of MRA and the frequency component location of which secret image is replaced to it and is compared to the proposed method. It is found that the proposed data hiding method is superior to the conventional method. Also the conventional data hiding method is not robust against circulation image processing.