Paper
15 May 2014 Effect of using different cover image quality to obtain robust selective embedding in steganography
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Abstract
One of the common types of steganography is to conceal an image as a secret message in another image which normally called a cover image; the resulting image is called a stego image. The aim of this paper is to investigate the effect of using different cover image quality, and also analyse the use of different bit-plane in term of robustness against well-known active attacks such as gamma, statistical filters, and linear spatial filters. The secret messages are embedded in higher bit-plane, i.e. in other than Least Significant Bit (LSB), in order to resist active attacks. The embedding process is performed in three major steps: First, the embedding algorithm is selectively identifying useful areas (blocks) for embedding based on its lighting condition. Second, is to nominate the most useful blocks for embedding based on their entropy and average. Third, is to select the right bit-plane for embedding. This kind of block selection made the embedding process scatters the secret message(s) randomly around the cover image. Different tests have been performed for selecting a proper block size and this is related to the nature of the used cover image. Our proposed method suggests a suitable embedding bit-plane as well as the right blocks for the embedding. Experimental results demonstrate that different image quality used for the cover images will have an effect when the stego image is attacked by different active attacks. Although the secret messages are embedded in higher bit-plane, but they cannot be recognised visually within the stegos image.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karwan Asaad Abdullah, Naseer Al-Jawad, and Alan Anwer Abdulla "Effect of using different cover image quality to obtain robust selective embedding in steganography", Proc. SPIE 9138, Optics, Photonics, and Digital Technologies for Multimedia Applications III, 913808 (15 May 2014); https://doi.org/10.1117/12.2052624
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image quality

Image filtering

Steganography

Gaussian filters

Image processing

Light sources and illumination

Digital filtering

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