Adaptively Embedding Binary Data in an Image

Authors:
Ching-Chiuan Lin;Nien-Lin Hsueh;Wen-Hsiang Shen
Affiliations:
(Correspd.) Department of Information Engineering and Computer Science Feng Chia University, Taichung 40724, Taiwan, ROC. E-mail: cclin@ocit.edu.tw/ nlhsueh@fcu.edu.tw/ shen@ocit.edu.tw;Department of Information Engineering and Computer Science Feng Chia University, Taichung 40724, Taiwan, ROC. E-mail: cclin@ocit.edu.tw/ nlhsueh@fcu.edu.tw/ shen@ocit.edu.tw;Department of Information Engineering and Computer Science Feng Chia University, Taichung 40724, Taiwan, ROC. E-mail: cclin@ocit.edu.tw/ nlhsueh@fcu.edu.tw/ shen@ocit.edu.tw
Venue:
Fundamenta Informaticae
Year:
2008

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Abstract

In this paper, we propose an embedding algorithm, of high visual quality, that can adaptively embed a binary message into an image. The binary message to be embedded is divided into two segments, each of which is then decomposed into n + 1 or n types of sub-messages (where n ⩾ 3 enables each pixel to embed a sub-message), respectively, according to the desired embedding capacity. Embedding is done by leaving the pixel value unchanged or changing it into one of its n or n − 1 neighboring values according to the type of the sub-message. From the results of this study, each pixel may not embed a fixed number of message bits and the adjustment of the pixel value is minimal, thus the image quality is significantly improved by adaptively decomposing the message into sub-messages and embedding them into the host image.