Reversible data embedding into images using wavelet techniques and sorting.

Autor: Kamstra L; Center for Mathematics and Computer Science, Amsterdam, The Netherlands. lute.kamstra@cwi.nl, Heijmans HJ
Jazyk: angličtina
Zdroj: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society [IEEE Trans Image Process] 2005 Dec; Vol. 14 (12), pp. 2082-90.
DOI: 10.1109/tip.2005.859373
Abstrakt: The proliferation of digital information in our society has enticed a lot of research into data-embedding techniques that add information to digital content, like images, audio, and video. In this paper, we investigate high-capacity lossless data-embedding methods that allow one to embed large amounts of data into digital images (or video) in such a way that the original image can be reconstructed from the watermarked image. We present two new techniques: one based on least significant bit prediction and Sweldens' lifting scheme and another that is an improvement of Tian's technique of difference expansion. The new techniques are then compared with various existing embedding methods by looking at capacity-distortion behavior and capacity control.
Databáze: MEDLINE