Detecting Hidden Messages Using Higher-Order Statistical Models

H. Farid

International Conference on Image Processing, Rochester, NY, 2002

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Techniques for information hiding have 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 higher-order statistical models of natural images. A Fisher linear discriminant analysis is then used to discriminate between untouched and adulterated images.