Steganography using the minimax eigenvalue decomposition

Chaka A. Allen; Jennifer L. Davidson

doi:10.1117/12.330365

6 November 1998 Steganography using the minimax eigenvalue decomposition

Chaka A. Allen, Jennifer L. Davidson

Proceedings Volume 3456, Mathematics of Data/Image Coding, Compression, and Encryption; (1998) https://doi.org/10.1117/12.330365
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

This paper presents result of applying the minimax eigenvalue decomposition (MED), a morphology type transform, that hides data within digital images as part of a flexible, computationally robust algorithm. This new algorithm presents a general method for hiding information within an image, although the strength of this algorithm lies in authentication. Authentication is the establishment of ownership of digital information, and is a type of watermarking. While no self-authenticating techniques are currently known, the algorithm presented here provides a certain level of self-authentication regardless of the particular information embedded in the data. The algorithm is applied to ten different images acquired over the internet, three of which are included in this document. Information in the form of a binary bit stream is inserted into each image data. A measure is created to determine how close an image containing message data is to its original image. A visual comparison is also performed. Keys, or information separate from the message data that is generated by the embedding techniques, are used to establish authenticity of the image data. This is different from most current steganography techniques that rely on embedded data integrity to establish authenticity. An analysis of the results is presented.

Citation Download Citation

Chaka A. Allen and Jennifer L. Davidson "Steganography using the minimax eigenvalue decomposition", Proc. SPIE 3456, Mathematics of Data/Image Coding, Compression, and Encryption, (6 November 1998); https://doi.org/10.1117/12.330365

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