Reversible watermarking algorithm using sorting and prediction
Document Type
Article
Publication Date
7-1-2009
Abstract
This paper presents a reversible or lossless water-marking algorithm for images without using a location map in most cases. This algorithm employs prediction errors to embed data into an image. A sorting technique is used to record the prediction errors based on magnitude of its local variance. Using sorted prediction errors and, if needed, though rarely, a reduced size location map allows us to embed more data into the image with less distortion. The performance of the proposed reversible watermarking scheme is evaluated using different images and compared with four methods: those of Kamstra and Heijmans, Thodi and Rodriguez, and Lee et al. The results clearly indicate that the proposed scheme can embed more data with less distortion. © 2009 IEEE.
Identifier
68249130416 (Scopus)
Publication Title
IEEE Transactions on Circuits and Systems for Video Technology
External Full Text Location
https://doi.org/10.1109/TCSVT.2009.2020257
ISSN
10518215
First Page
989
Last Page
999
Issue
7
Volume
19
Recommended Citation
Sachnev, Vasiliy; Kim, Hyoung Joong; Nam, Jeho; Suresh, Sundaram; and Shi, Yun Qing, "Reversible watermarking algorithm using sorting and prediction" (2009). Faculty Publications. 12043.
https://digitalcommons.njit.edu/fac_pubs/12043
