Abstract
In recent years, the use of network communication has grown sharply: information is frequently transmitted as a range of digital forms including text, image, audio, video, and other media. Data hiding involves embedding secret data into other cover media with minimal perceivable degradation. These data hiding techniques represent an important tool in, for example, protecting copyright (e.g. watermarking), communicating secretly, and embedding captions [1]. Although various applications may have different requirements, data hiding has two fundamental requirements. First, the degrading of quality due to embedding should be imperceptible. A few distortions occur as data is embedded into cover media. For security, the change in the cover medium should not be obvious. Secondly, the hiding capacity should suffice to store a reasonable amount of hidden data. However, the distortion and the embedding capacity are traded off such that more embedded data cause greater degradation in the cover medium. To meet these requirements, the primary goal of data-hiding techniques is to cause a minimum of visual or auditory degradation for any reasonable quantity of hidden data.
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Kekre, H.B., Athawale, A., Sarode, T.K., Sagvekar, K. (2011). Information hiding in vector quantized codebook. In: Pise, S.J. (eds) Thinkquest~2010. Springer, New Delhi. https://doi.org/10.1007/978-81-8489-989-4_34
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DOI: https://doi.org/10.1007/978-81-8489-989-4_34
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