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Depth-Based View-Invariant Blind 3D Image Watermarking

Published:03 August 2016Publication History
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Abstract

With the huge advance in Internet technology as well as the availability of low-cost 3D display devices, 3D image transmission has become popular in recent times. Since watermarking has become regarded as a potential Digital Rights Management (DRM) tools in the past decade, 3D image watermarking is an emerging research topic. With the introduction of the Depth Image-Based Rendering (DIBR) technique, 3D image watermarking is a more challenging task, especially for synthetic view generation. In this article, synthetic view generation is regarded as a potential attack, and a blind watermarking scheme is proposed that can resist it. In the proposed scheme, the watermark is embedded into the low-pass filtered dependent view region of 3D images. Block Discrete Cosine Transformation (DCT) is used for spatial-filtration of the dependent view region to find the DC coefficient with horizontally shifted coherent regions from the left and right view to make the scheme robust against synthesis view attack. A comprehensive set of experiments have been carried out to justify the robustness of the proposed scheme over related existing schemes with respect to Stereo JPEG compression and different noise addition attacks.

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            • Published in

              cover image ACM Transactions on Multimedia Computing, Communications, and Applications
              ACM Transactions on Multimedia Computing, Communications, and Applications  Volume 12, Issue 4
              August 2016
              219 pages
              ISSN:1551-6857
              EISSN:1551-6865
              DOI:10.1145/2983297
              Issue’s Table of Contents

              Copyright © 2016 ACM

              © 2016 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 3 August 2016
              • Revised: 1 April 2016
              • Accepted: 1 April 2016
              • Received: 1 August 2015
              Published in tomm Volume 12, Issue 4

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