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16

ICIP
2002
IEEE

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Detecting hidden messages using higher-order statistical models

14 years 6 months ago

Detecting hidden messages using higher-order statistical models

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Techniques for informationhidinghave become increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages has become considerably more difficult. This paper describes a new approach to detecting hidden messages in images. The approach uses a wavelet-like decomposition to build higherorder statistical models of natural images. A Fisher linear discriminant analysis is then used to discriminate between untouched and adulterated images.

Hany Farid

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Hidden Messages | ICIP 2002 | Image Processing | Linear Discriminant Analysis |

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Added	24 Oct 2009
Updated	27 Oct 2009
Type	Conference
Year	2002
Where	ICIP
Authors	Hany Farid

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