Detecting hidden messages using higher-order statistical models

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.

• Type: Conference
• Year: 2002
• Where: ICIP
• Authors: Hany Farid
• Keywords: Hidden Messages, ICIP 2002, Image Processing, Linear Discriminant Analysis