Publication: Lossless generalized-LSB data embedding
Program
KU-Authors
KU Authors
Co-Authors
Çelik, Mehmet Utku
Sharma, Gaurav
Saber, Eli
Advisor
Publication Date
2005
Language
English
Type
Journal Article
Journal Title
Journal ISSN
Volume Title
Abstract
We present a novel lossless (reversible) data-embedding technique, which enables the exact recovery of the original host signal upon extraction of the embedded information. A generalization of the well-known least significant bit (LSB) modification is proposed as the data-embedding method, which introduces additional operating points on the capacity-distortion curve. Lossless recovery of the original is achieved by compressing portions of the signal that are susceptible to embedding distortion and transmitting these compressed descriptions as a part of the embedded payload. A prediction-based conditional entropy coder which utilizes unaltered portions of the host signal as side-information improves the compression efficiency and, thus, the lossless data-embedding capacity.
Description
Source:
Ieee Transactions On Image Processing
Publisher:
Ieee-Inst Electrical Electronics Engineers Inc
Keywords:
Subject
Computer Science, Artificial intelligence, Electrical electronics engineering