Acta Metallurgica Sinica(English letters) ›› 2008, Vol. 15 ›› Issue (2): 82-87.doi: 1005-8885 (2008) 02-0082-06

• Wireless • Previous Articles     Next Articles

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

LI Lei-da, GUO Bao-long, GUO Lei   

  1. 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

Abstract:

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.

Key words:

image watermarking;geometric attack;feature point;image normalization

CLC Number: