An Empirical Mode Decomposition (EMD) based on Steganographic Method for Digital Images

Abstract

Nowadays network security is a big concern for the digital world. More specifically where need to transfer message between the sender and intended recipient. Steganography is a technique that hides a secret message when it transfers over the network. Various kinds of
computerized mediums such as digital images, sound, video and so forth can be utilized as a medium for hiding confidential messages using steganography. Hilbert Huang Transform (HHT) has two portions. Among two Empirical Mode Decomposition (EMD) is the central part. The HHT is worked with two phases. To start with, utilizing the Empirical Mode Decomposition algorithm, intrinsic mode functions (IMF) is achieved. At that point, after the principal stage, in the subsequent stage, the immediate recurrence band of the underlying arrangement is acquired by applying the Hilbert transform to the outcomes of the initial step. So from The Hilbert Huang Transform (HHT), we get the immediate recurrence band of deviating and changing successions. Unlike the Fourier Transform (FT) and Wavelet Transform (WT), the Empirical Mode Decomposition disintegrates the provided information into intrinsic mode functions. Here we go through the digital images as the best option for image processing. We work with few samples and decomposed them deeply with various blocked. Then we calculate the hiding capacity of a block via all the IMFs’ coefficient. Hiding capacity is the key to empirical mode decomposition (EMD) based steganography. We use the EMD algorithm and LSB steganography method for our experiment. Our experimental results provide greater texture strength and a better visual quality of the output images.