Digital Watermarking Robust to Geometric Distortions
type: Dataset
description: In this paper we present two watermarking approaches that are robust to geometric distortions. The first approach is based on image normalization, in which both watermark embedding and extraction are carried out with respect to an image normalized to meet predefined moment criteria. We propose a new normalization procedure, which is invariant to affine transform attacks. The resulting watermarking scheme is suitable for public watermarking applications, where the original image is not available for watermark extraction. The second approach is based on a watermark resynchronization scheme aimed to alleviate the effects of random bending attacks. In this scheme, a deformable mesh is used to correct the distortion caused by the attack. The watermark is then extracted from the corrected image. In contrast to the first scheme, the latter is suitable for private watermarking applications, where the original image is needed during watermark detection. In both schemes we employ a direct-sequence code division multiple access (DS-CDMA) approach to embed a multi-bit watermark in the discrete cosine transform (DCT) domain of the image. Numerical experiments demonstrate that the proposed watermarking schemes are robust to a wide range of geometric attacks.
landing page: 1057-7149
keyword: code-division-multiple-access-watermarking
keyword: digital-watermarking
keyword: geometric-attacks
keyword: image-normalization
keyword: infoeu-reposemanticsarticle
keyword: infoinfo-crcomputer-science-cscryptography-and-security-cscr
keyword: journal-articles
keyword: mesh-modeling
keyword: watermark-resynchronization
issued: 2026-05-09T16:37:29.103648
modified: 2026-05-09T16:37:29.103652
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Digital Watermarking Robust to Geometric Distortions
type: Distribution
format: HTML
access URL: https://hal.science/hal-00086383
issued: 2026-05-09T16:37:29.105059
modified: 2026-05-09T16:37:29.092193