In image watermarking, many attacks will result in a synchronization problem between embedder and detector. A novel way to, partly, overcome this problem is embedding with feature points. In this paper we describe a synchronization system based on SIFT feature points. These points are characterized as being a localized feature containing semantic information of the image and can usually be retrieved after the image is attacked. We present an improvement on the work of Lee et al.[1], by using a more robust SIFT algorithm for feature point detection which we called Global SIFT (GLOS) and an adaptation of the Circular Spatial watermarking algorithm using so called mean QIM (CSI). We experimentally show an increase in detection rate and robustness of the watermarks after geometric attacks.
Verstrepen, L, Meesters, T, Dams, T, Dooms, A & Bardyn, D 2009, Circular Spatial Improved Watermark Embedding using a new Global Sift Synchronization scheme. in International Conference on Digital Signal Processing. IEEE, Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet, Stockholm, Sweden, 21/09/09.
Verstrepen, L., Meesters, T., Dams, T., Dooms, A., & Bardyn, D. (2009). Circular Spatial Improved Watermark Embedding using a new Global Sift Synchronization scheme. In International Conference on Digital Signal Processing IEEE.
@inproceedings{8b927c2e09734e92a37bd93840f1387d,
title = "Circular Spatial Improved Watermark Embedding using a new Global Sift Synchronization scheme",
abstract = "In image watermarking, many attacks will result in a synchronization problem between embedder and detector. A novel way to, partly, overcome this problem is embedding with feature points. In this paper we describe a synchronization system based on SIFT feature points. These points are characterized as being a localized feature containing semantic information of the image and can usually be retrieved after the image is attacked. We present an improvement on the work of Lee et al.[1], by using a more robust SIFT algorithm for feature point detection which we called Global SIFT (GLOS) and an adaptation of the Circular Spatial watermarking algorithm using so called mean QIM (CSI). We experimentally show an increase in detection rate and robustness of the watermarks after geometric attacks.",
keywords = "watermarking, synchronization, quantization index modulation, feature points, SIFT",
author = "Luc Verstrepen and Tom Meesters and Tim Dams and Ann Dooms and Dieter Bardyn",
year = "2009",
month = aug,
day = "18",
language = "English",
isbn = "978-1-4244-3297-4",
booktitle = "International Conference on Digital Signal Processing",
publisher = "IEEE",
note = "Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet ; Conference date: 21-09-2009 Through 25-09-2009",
}