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Selective bit embedding scheme for robust blind color image watermarking

Huynh-The, T, Hua, C-H, Anh Tu, N, Hur, T, Bang, J, Kim, D, Bilal Amin, M, Kang, BH ORCID: 0000-0003-3476-8838, Seung, H and Lee, S 2018 , 'Selective bit embedding scheme for robust blind color image watermarking' , Information Sciences, vol. 426 , pp. 1-18 , doi: 10.1016/j.ins.2017.10.016.

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In this paper, we propose a novel robust blind color image watermarking method, namely SMLE, that allows to embed a gray-scale image as watermark into a host color image in the wavelet domain. After decomposing the gray-scale watermark to component binary images in digits ordering from least significant bit (LSB) to most significant bit (MSB), the retrieved binary bits are then embedded into wavelet blocks of two optimal color channels by using an efficient quantization technique, where the wavelet coefficient difference in each block is quantized to either two pre-defined thresholds for corresponding 0-bits and 1-bits. To optimize the watermark imperceptibility, we equally split the coefficient modified quantity on two middle-frequency sub-bands instead of only one as in existing approaches. The improvement of embedding rule increases approximately 3 dB of watermarked image quality. An adequate trade-off between robustness and imperceptibility is controlled by a factor representing the embedding strength. As for extraction process, we exploit 2D Otsu algorithm for higher accuracy of watermark detection than that of 1D Otsu. Experimental results prove the robustness of our SMLE watermarking model against common image processing operations along with its efficient retention of the imperceptibility of the watermark in the host image. Compared to state-of-the-art methods, our approach outperforms in most of robustness tests at a same high payload capacity.

Item Type: Article
Authors/Creators:Huynh-The, T and Hua, C-H and Anh Tu, N and Hur, T and Bang, J and Kim, D and Bilal Amin, M and Kang, BH and Seung, H and Lee, S
Keywords: color image watermarking, discrete wavelet transform, quantization technique
Journal or Publication Title: Information Sciences
Publisher: Elsevier Science Inc
ISSN: 0020-0255
DOI / ID Number: 10.1016/j.ins.2017.10.016
Copyright Information:

Copyright 2017 Elsevier Inc.

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