Abstract
Securely embedding data in digital images has important applications for covert communication and copyright protection. The specific algorithm used to embed information depends on the characteristics of the application. Two prominent techniques for embedding information are least-significant-bit modification and discrete-cosine-transform modification. Detecting modifications to a high bit-rate signal such as a digital image can be difficult and is the subject of cross-disciplinary research in statistics and signal processing. This chapter gives an overview of the important issues associated with security imaging with specific examples of techniques to embed and detect hidden information.
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Abbreviations
- DCT:
-
Discrete cosine transform
- LSB:
-
Least significant bit of a binary number
- YCrCb:
-
A representation of an RGB color in terms of its luminance (Y) and chrominance (Cr and Cb) components
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Further Reading
Cox I, Miller M, Bloom J, Fridrich J, Kalker T (2008) Digital watermarking and steganography, 2nd edn. Morgan Kaufman, Burlington
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Wayner P (2009) Information hiding: steganography and watermarking, 3rd edn. Morgan Kaufman, Burlington
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Taranovsky, D. (2016). Security Imaging: Data Hiding and Digital Watermarking. In: Chen, J., Cranton, W., Fihn, M. (eds) Handbook of Visual Display Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-14346-0_31
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DOI: https://doi.org/10.1007/978-3-319-14346-0_31
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-14346-0
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