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Hiding secrete data in compressed images using histogram analysis

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conference contribution
posted on 2024-11-15, 20:07 authored by Farhad Keissarian
In this paper, we present a data hiding scheme that embeds the secret data into the compression codes of the host image. The compression codes are associated with the visual patterns appearing in image blocks and are computed through a histogram analysis of residual blocks of the host image. The hiding capacity for each compressed block is not fixed and varies with its block type. Blocks with low visual activity hide more data than those with high visual activity. Experimental results confirm that the proposed technique can provide high data capacity within the compression file with acceptable image quality of the stego-images.

History

Citation

Keissarian, F. 2010, 'Hiding secrete data in compressed images using histogram analysis', The 2nd International Conference on Computer and Automation Engineering (ICCAE), 2010, IEEE, Piscataway, New Jersey, USA, pp. 492-496.

Language

English

RIS ID

33498

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