Abstract
LSB steganography is a one of the most widely used methods for implementing covert data channels in image file exchanges [1][2]. The low computational complexity and implementation simplicity of the algorithm are significant factors for its popularity with the primary reason being low image distortion. Many attempts have been made to increase the embedding capacity of LSB algorithms by expanding into the second or third binary layers of the image while maintaining a low probability of detection with minimal distortive effects [2][3][4]. In this paper, we introduce an advanced technique for covertly embedding data within images using redundant number system decomposition over non-standard digital bit planes. Both grayscale and bit-mapped images are equally effective as cover files. It will be shown that this unique steganography method has minimal visual distortive affects while also preserving the cover file statistics, making it less susceptible to most general steganography detection algorithms.
Highlights
Multimedia steganography involves the means and methods by which information is embedded in a digital cover signal and communicated between two actors under the conditions that third-party observers will not be able to discern any difference between signals with embedded data and the same non-embedded original cover files[1]
Operating within the trade spaces of imperceptibility, robustness, and capacity, we introduce an approach that focuses on maximizing the steganography trade space for one class of multimedia files – namely uncompressed image file formats
2.3 LSB Expansion Given that the current steganalysis approach is to target the structure and statistical characteristics of the first few least significant bits, alternative embedding methods are considered to avoid this type of detection
Summary
Multimedia steganography involves the means and methods by which information is embedded in a digital cover signal and communicated between two actors under the conditions that third-party observers will not be able to discern any difference between signals with embedded data and the same non-embedded original cover files[1]. One of the simplest and most popular steganographic methods involves the manipulation of the least significant bit (LSB) levels of the formatted data file [1][2]. We propose a new embedding technique which alters the available number of least significant bit layers of uncompressed image files. This technique is based on the development of an entirely new redundant number system representation with subsequent remapping of the base image file to this new bit plane decomposition. Using a selective value minimization technique, data will be inserted into a number of bit planes greater than the traditional LSB levels of the first, second or third layer.
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