Home // INNOV 2018, The Seventh International Conference on Communications, Computation, Networks and Technologies // View article
AMBTC-Based Data Hiding Using Intra- and Inter-Block Embedding Strategy
Authors:
Yu-Hsiu Lin
Chih-Hsien Hsia
Bo-Yan Chen
Yung-Yao Chen
Keywords: Absolute Moment Block Truncation Coding (AMBTC); inter- and intra-block embedding; direct binary search.
Abstract:
This paper presents a novel data hiding approach for image compression with Absolute Moment Block Truncation Coding (AMBTC). Hiding data in digital images has widespread security uses, which include image authentication, prevention of malicious forgery, copyright protection, and so on. On the other hand, for transmission efficiency and storage space concerns, image compression techniques are commonly used in Internet-based applications. To achieve these two purposes simultaneously, we integrate AMBTC, a low computation complexity block-based compression technique, in the proposed data hiding scheme. First, five parameters are separately extracted from individual image blocks. By manipulating these parameters, secret data are embedded in the blocks without excessively degrading overall image quality. A halftoning method is incorporated to quickly identify optimal parameters. In addition, the interblock hiding scheme is proposed to embed extra data by exploiting the relevance between adjacent blocks. From the experimental results, it validates the effectiveness of the proposed method.
Pages: 18 to 20
Copyright: Copyright (c) IARIA, 2018
Publication date: October 14, 2018
Published in: conference
ISSN: 2326-9286
ISBN: 978-1-61208-674-3
Location: Nice, France
Dates: from October 14, 2018 to October 18, 2018