Computational Mathmatics

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A Comparable Study of Hiding Information in Images Using Least Significant Bit (LSB) Substitution and Pixel Value Differencing (PVD) Methods
(2016) Rana Tayseer Sabbah; Dr. Mohammad Assad; Dr. Loa’i Malhis
Steganography is one of the most powerful techniques that conceal the existence of hidden secret data inside a cover object. In this thesis, we take an image for a carrier of secret data which is known as a host or cover image. After embedding the secret data into the host image, the output image of this hiding process is called a stego-image, data hiding schemes are used, by applying some pixel adjustment process to the stego-image obtained by the simple LSB substitution method, and using PVD method, the image quality of the stego-image can be greatly improved with low extra computational complexity. The mean-square-error between the stego-image and the cover-image and Peak Signal to noise ratio are computed. Experimental results show that the stego-image is visually indistinguishable from the original cover-image. As we make a comparable study, the results show that PVD method gives a better image quality combined with the capacity of hidden data, as well as the complexity and robustness of embedded data are increased where the secret data is stored in a difficult way to understand by any intruder.