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Stereo Vision Based Digital Watermarking Using Regularized Feature-based Disparity Estimation

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This article proposes a stereo vision based digital watermarking scheme that uses regularized feature-based disparity estimation for copyright protection of stereo content. The watermark data are embedded into the right image of a stereo image using the discrete wavelet transform algorithm, and a disparity vector is extracted from the left and watermarked right images. The disparity vector and the left image are then transmitted to the recipient through a communication channel. At the receiver, the watermarked right image is reconstructed from the received left image and disparity vector by employing regularized feature-based disparity estimation. From the difference between the watermarked and original right images, the embedded watermark image can then be extracted. From experiments using the stereo image pair of "Fichier," "Tunnel," and watermark data of "3D," it was found that the peak signal to noise ratio (PSNR) of the reconstructed right image through the proposed algorithm can be improved by an average of 3.61 dB compared to those of a conventional algorithm. At the same time, the PSNR of the watermark image extracted from this reconstructed right image can also be improved by an average of 2.36 dB when the Quantizer Scale is given as 20.
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Document Type: Research Article

Affiliations: 1: Samsung Thales Company, Limited, San 14-1, Giheung-Gu, Yongin-City, Gyeonggi-Do, 446-712, Korea 2: Samsung Electronics Company, Limited, Yongtong-gu, Suwon-City, Gyeonggi-Do, 443-370, Korea 3: 3D Display Research Center (3DRC), Department of Electronic Engineering, Kwangwoon University, Wolgye-Dong, Nowon-Gu, Seoul, 139-701, Korea

Publication date: 2008-09-01

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  • The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.

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    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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