Abstract
Steganography is the process of embedding data into a media form such as image, voice, and video. The major methods used for data hiding are the frequency domain and the spatial domain. In the frequency domain, the secret data bits are inserted into the coefficients of the image pixel's frequency representation such as Discrete Cosine Transform (DCT) , Discrete Fourier Transform (DFT) and Discrete Wavelet Transform (DWT) . On the other hand, in the spatial domain method, the secret data bits are inserted directly into the images' pixels value decomposition. The Lest Significant Bit (LSB) is consider as the most widely spatial domain method used for data hiding. LSB embeds the secret message's bits into the least significant bit plane( Binary decomposition) of the image in a sequentially manner . The LSB is simple, but it poses some critical issues. The secret message is easily detected and attacked duo to the sequential embedding process. Moreover, embedding using a higher bit plane would degrade the image quality. In this paper, we are proposing a novel data hiding method based on Lucas number system. We use Lucas number system to decompose the images' pixels values to allow using higher bit plane for embedding without degrading the image's quality. The experimental results show that the proposed method achieves better Peak Signal to Noise Ratio ( PSNR) than the LSB method for both gray scale and color images. Moreover, the security of the hidden data is enhanced by using Pseudo Random Number Generators(PRNG) for selecting the secret data bits to be embedded and the image's pixels used for embedding.
Highlights
The goal of the data hiding system is to communicate a secret message in a way that would not be noticeable by an intruder [1,2,3]
We propose using Lucas number system for image pixel's value decomposition to allow using higher bit plane without degrading the image quality
The quality of the embedding techniques are evaluated by the Peak Signal to Noise Ratio (PSNR), where it is defined as ORIGINAL GRAY SCALE IMAGE
Summary
The goal of the data hiding system is to communicate a secret message in a way that would not be noticeable by an intruder [1,2,3]. In the spatial domain techniques, the secret data bits are inserted directly into the images' pixels value decomposition. The LSB data hiding technique is simple and the effect on the image quality is limited and hardly noticed by the human eye duo to the small value of the bit (least significant bit) used for embedding. On the other hand, using higher bits for embedding the secret message would enhance the security and at the same time degrade the image quality.
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More From: International Journal of Advanced Computer Science and Applications
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