Publication:
Lossless generalized-LSB data embedding

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KU Authors

Co-Authors

Çelik, Mehmet Utku
Sharma, Gaurav
Saber, Eli

Advisor

Publication Date

2005

Language

English

Type

Journal Article

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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

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