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Improving digital image watermarking by means of optimal channel selection

Authors
Thien Huynh-TheBanos, OrestiLee, SungyoungYoon, YongikThuong Le-Tien
Issue Date
Nov-2016
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
Digital image watermarking; Discrete wavelet transform; Coefficients quantization; Optimal color-channel selection; Adaptive Otsu thresholding
Citation
EXPERT SYSTEMS WITH APPLICATIONS, v.62, pp.177 - 189
Journal Title
EXPERT SYSTEMS WITH APPLICATIONS
Volume
62
Start Page
177
End Page
189
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/9367
DOI
10.1016/j.eswa.2016.06.015
ISSN
0957-4174
Abstract
Supporting safe and resilient authentication and integrity of digital images is of critical importance in a time of enormous creation and sharing of these contents. This paper presents an improved digital image watermarking model based on a coefficient quantization technique that intelligently encodes the owner's information for each color channel to improve imperceptibility and robustness of the hidden information. Concretely, a novel color channel selection mechanism automatically selects the optimal HL4 and LH4 wavelet coefficient blocks for embedding binary bits by adjusting block differences, calculated between LH and HL coefficients of the host image. The channel selection aims to minimize the visual difference between the original image and the embedded image. On the other hand, the strength of the watermark is controlled by a factor to achieve an acceptable tradeoff between robustness and imperceptibility. The arrangement of the watermark pixels before shuffling and the channel into which each pixel is embedded is ciphered in an associated key. This key is utterly required to recover the original watermark, which is extracted through an adaptive clustering thresholding mechanism based on the Otsu's algorithm. Benchmark results prove the model to support imperceptible watermarking as well as high robustness against common attacks in image processing, including geometric, non-geometric transformations, and lossy JPEG compression. The proposed method enhances more than 4 dB in the watermarked image quality and significantly reduces Bit Error Rate in the comparison of state-of-the-art approaches. (C) 2016 Elsevier Ltd. All rights reserved.
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