Ms. Mei-Ching Chen Profile

Mei-Ching Chen

at Univ of Texas at San Antonio

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Proceedings Article | 5 May 2009 Paper

Image steganography in fractal compression

Mei-Ching Chen, Sos Agaian, C. L. Philip Chen, Benjamin Rodriguez

Proceedings Volume 7351, 73510Y (2009) https://doi.org/10.1117/12.818976

KEYWORDS: Image visualization, Image compression, Data hiding, Image processing, Computer programming, Image transmission, Fractal analysis, Information security, Iterated function systems, Steganography

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This paper proposes a steganographic scheme utilizing within and/or after fractal encoding procedures on images for data security. Fractal generation exploits the concepts of iterated function systems (IFS) consisting of a collection of contractive transformations. Fractal images make use of partitioned iterated function systems (PIFS) to determine self similarity within images along with approximating the original uncompressed image. The transformed coefficients are stored in a fractal code table in order to decode the image as an alternative to storing or transmitting image pixel values directly. The proposed steganographic algorithm conceals secret information in the contrast/scaling and brightness/shifting coefficients in the code table, resulting in a stego fractal code table. Using fractal transform as a means of steganography provides a new embedding domain other than the existing steganography tools. The advantages of using fractal compression for securing information within images are: no current fractal detection methods exist, the hidden information is disseminated throughout the image in the spatial domain, the capacity of the image can be increased, and the decoding of the stego table results in a visually undistorted image.

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