Abstract
One common drawback of virtually all current data
embedding methods is the fact that the original image is inevitably
distorted due to data embedding itself. This distortion typically
cannot be removed completely due to quantization, bit-replacement, or
truncation at the grayscales 0 and 255. Although the distortion is
often quite small and perceptual models are used to minimize its
visibility, the distortion may not be acceptable for medical imagery
(for legal reasons) or for military images inspected under nonstandard
viewing conditions (after enhancement or extreme zoom). In this paper,
we introduce a new paradigm for data embedding in images (lossless
data embedding) that has the property that the distortion due to
embedding can be completely removed from the watermarked image after
the embedded data has been extracted. We present lossless embedding
methods for the uncompressed formats (BMP, TIFF) and for the JPEG
format. We also show how the concept of lossless data embedding can be
used as a powerful tool to achieve a variety of nontrivial tasks,
including lossless authentication using fragile watermarks,
steganalysis of LSB embedding, and distortion-free robust watermarking.