Image analysis – Applications
Reexamination Certificate
2007-07-03
2007-07-03
Johns, Andrew W. (Department: 2624)
Image analysis
Applications
C382S190000, C382S244000, C713S176000
Reexamination Certificate
active
11292740
ABSTRACT:
Current methods of embedding hidden data in an image inevitably distort the original image by noise. This distortion cannot generally be removed completely because of quantization, bit-replacement, or truncation at the grayscales 0 and 255. The distortion, though often small, may make the original image unacceptable for medical applications, or for military and law enforcement applications where an image must be inspected under unusual viewing conditions (e.g., after filtering or extreme zoom). The present invention provides high-capacity embedding of data that is lossless (or distortion-free) because, after embedded information is extracted from a cover image, we revert to an exact copy of the original image before the embedding took place. This new technique is a powerful tool for a variety of tasks, including lossless robust watermarking, lossless authentication with fragile watermarks, and steganalysis. The technique is applicable to raw, uncompressed formats (e.g., BMP, PCX, PGM, RAS, etc.), lossy image formats (JPEG, JPEG2000, wavelet), and palette formats (GIF, PNG).
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Du Rui
Fridrich Jessica
Goljan Miroslav
Johns Andrew W.
Mackowey Anthony
Milde & Hoffberg LLP
The Research Foundation of SUNY
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