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Geometric Invariant Domain for Image Watermarking

Woo, Chaw-Seng, Du, Jiang, & Pham, Binh L. (2006) Geometric Invariant Domain for Image Watermarking. In Shi, Y.Q. & Jeon, B. (Eds.) International Workshop on Digital Watermarking 2006, 8-10 November 2006, South Korea.

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Abstract

To enable copyright protection and authentication, robust digital watermark can be embedded into multimedia contents imperceptibly. However, geometric distortions pose a significant threat to robust image watermarking because it can desynchronize the watermark information while preserving the visual quality. To overcome this, we developed an invariant domain with three transforms; Fast Fourier Transform (FFT), Log-Polar Mapping (LPM), and Dual Tree-Complex Wavelet Transform (DT-CWT). Shift invariance is obtained using FFT. Rotation and scaling invariance are achieved by taking the DT-CWT of a LPM output. Unlike most invariant schemes, our method eliminates explicit re-synchronization. The method resists geometric distortions at both global and local scales. It is also robust against JPEG compression and common image processing. In addition, it exploits perceptual masking property of the DT-CWT subbands, and its watermark detection step does not require the cover image. Experiment on a large set of natural images shows the robustness of the new scheme.

Impact and interest:

3 citations in Scopus
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2 citations in Web of Science®

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644 since deposited on 29 Nov 2006
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ID Code: 5620
Item Type: Conference Paper
Keywords: Invariant domain, robust watermark, image watermark
DOI: 10.1007/11922841_24
ISBN: 9783540488255
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer Software not elsewhere classified (080399)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2006 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science
Deposited On: 29 Nov 2006
Last Modified: 29 Feb 2012 23:18

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