Rotation, scaling, and translation invariant image watermarking using feature points

doi:1005-8885 (2008) 02-0082-06

中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (2): 82-87.doi: 1005-8885 (2008) 02-0082-06

• Artificial Intelligence • 上一篇下一篇

Rotation, scaling, and translation invariant image watermarking using feature points

李雷达，郭宝龙，郭磊

Institute of Intelligent Control and Image Engineering, Xidian University, Xi’an 710071, China

收稿日期:2007-09-10 修回日期:1900-01-01 出版日期:2008-06-30
通讯作者: 李雷达

Rotation, scaling, and translation invariant image watermarking using feature points

LI Lei-da, GUO Bao-long, GUO Lei

Institute of Intelligent Control and Image Engineering, Xidian University, Xi’an 710071, China

Received:2007-09-10 Revised:1900-01-01 Online:2008-06-30
Contact: LI Lei-da

摘要/Abstract

摘要：

In this article, a novel robust image watermarking scheme is presented to resist rotation, scaling, and translation (RST). Initially, the original image is scale normalized, and the feature points are then extracted. Furthermore, the locally most stable feature points are used to generate several nonoverlapped circular regions. These regions are then rotation normalized to generate the invariant regions. Watermark embedding and extraction are used in the invariant regions in discrete cosine transform domain. In the decoder, the watermark can be extracted without the original image. Simulation results show that the proposed scheme is robust to traditional signal processing attacks, RST attacks, as well as some combined attacks.

关键词:

image;watermarking,;geometric;attack,;feature;point,;image;normalization

Abstract:

Key words:

image watermarking;geometric attack;feature point;image normalization

中图分类号:

TP391

LI Lei-da, GUO Bao-long, GUO Lei. Rotation, scaling, and translation invariant image watermarking using feature points[J]. Acta Metallurgica Sinica(English letters), 2008, 15(2): 82-87.

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Rotation, scaling, and translation invariant image watermarking using feature points

Rotation, scaling, and translation invariant image watermarking using feature points

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