1 March 2005 Adaptive steganography with increased embedding capacity for new generation of steganographic systems
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Abstract
Adaptive steganographic techniques have become a standard direction taken when striving to complicate the detection of secret communication. The consideration of cover image features when embedding information is an effort to insert digital media while keeping the visual and the statistical properties of the cover image intact. There are several such embedding methods in existence today, applicable for different formats of images and with contrasting approaches. In this paper, we propose a new adaptive embedding technique which alters the least significant bit layers of an image. This technique is driven by three separate functions: (1) Adaptive selection of locations to embed. (2) Adaptive selection of number of bits per pixel to embed. (3) Adaptive selection of manner in which the information is inserted. Through the application of sensitive median-based statistical estimation and a recorded account of actions taken, the proposed algorithms are able to provide the desired level of security, both visually and statistically. In comparison with other methods offering the same level of security, the new technique is able to offer a greater embedding capacity. In addition, for the sake of thorough investigation and fair comparison, we will introduce a new stego capacity measure which will offer a means of comparing steganography methods applied across different formats of images. Finally, this new algorithm is created with the intention of implementing a new visual communication system acknowledging low energy consumption and limited computationally related resources.
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Sos S. Agaian, Sos S. Agaian, Ronnie R. Sifuentes, Ronnie R. Sifuentes, } "Adaptive steganography with increased embedding capacity for new generation of steganographic systems", Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, (1 March 2005); doi: 10.1117/12.588032; https://doi.org/10.1117/12.588032
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