Proposed Method of Text Hiding in Image Edges

Abstract

Nowadays, information hiding techniques have been beneficial in a many application areas, there are many techniques to achieve hiding data, and hiding text inside image is one field of them. This work shows how the edges of the images will be detected by scanning method using 3x3 window and then the secret message is canceled in edges of a gray scale images (Lena and goldhill) which acts as a cover images using Least Significant Bit (LSB) based Sobel edge detection algorithm. The algorithms are implemented using MATLAB R2014a. The design achieved high embedding capacity and high quality of encoded image. A Four Gray Scale input images with size 1024×1024 is used as a cover image and massage with length 500 character as a secret massage in this work.

Review on Common Steganography Techniques

“…1) Using of Frequency/ Transformation: This type of concealment depends on making image conversions (DCT, DFT, Wavelet) to prepare for the concealment phase [5]. These transformations convert the cover from spatial to spectral domain.…”

“…Since we talk about an error, it is natural to want to minimize the error, in other words, the lower the error, the better the processing quality, which is an indication of the technique used to hide the information in the image. The MSE is calculated by the equation [5] b) Peak Signal to Noise Ratio (PSNR). The ratio between the maximum possible energy of a signal and the ability of noise that negatively affects the accuracy of its representation.…”