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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