Image analysis – Image compression or coding
Reexamination Certificate
2011-02-08
2011-02-08
Ahmed, Samir A (Department: 2624)
Image analysis
Image compression or coding
C382S100000
Reexamination Certificate
active
07885470
ABSTRACT:
Embodiments of the invention are directed toward methods for steganalysis that improve the detection of steganography in texture images. The methods combine features extracted from the image spatial representation and from a block discrete cosine transform (BDCT) representation with multiple different block sizes (i.e., N×N) to improve detection of data hidden in texture images. Image data that is to undergo steganalysis can be provided to embodiments of the invention in at least one of spatial (pixel) and JPEG format. When JPEG format is provided, the image is first decompressed to spatial representation, from which the features are extracted when the block size is at least one 2×2, 4×4, and 16×16. When the block size is 8×8, the JPEG coefficients (JPEG quantized 8×8 BDCT coefficients) derived directly from the JPEG image are used to extract features. In addition, the method is also effective as a universal steganalyzer for both texture and smooth
on-texture images. Embodiments of the invention also (1) utilize moments of 1-D and 2-D characteristic functions; (2) Prediction-error; and (3) all wavelet subbands including the low-low subbands.
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Chen Chun-hua
Shi Yun-Qing
Ahmed Samir A
Connolly Bove & Lodge & Hutz LLP
Li Ruiping
New Jersey Institute of Technology
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