DocumentCode
1998282
Title
A robust content-based watermarking scheme
Author
Wang, Xiang ; Guo, Zongming
Author_Institution
Inst. of Comput. Sci. & Technol., Peking Univ., Beijing, China
fYear
2009
fDate
5-7 Oct. 2009
Firstpage
1
Lastpage
6
Abstract
Content-based watermarking techniques have been widely developed to resist geometrical attacks. In the content-based watermarking scheme, invariant regions detected by an affine-invariant detector are exploited for watermark embedding. However, many image manipulations, including watermark embedding, will bring noise to the host image. It results in creating new interest points, removing existing points and changing the shape of invariant regions. Consequently, invariant region detection obtains different results between the embedder and the detector of a watermarking scheme. Thus, the watermark fails to be detected because of the loss of synchronization. In this paper, we present a novel content-based watermarking scheme providing robustness to such manipulations. First, the scale and affine invariant regions are extracted on the de-noised image. A new measure is proposed to select non-overlapping invariant regions out of the available invariant regions for watermark embedding. The watermark is embedded surrounding the selected invariant region. The experimental results show that the proposed scheme is robust to various image processing, including geometric attacks, JPEG compression and filtering.
Keywords
image coding; image denoising; watermarking; JPEG compression; affine-invariant detector; content-based watermarking scheme; geometrical attacks; image filtering; image manipulations; invariant region detection; watermark embedding; Computer science; Computer vision; Detectors; Image processing; Noise shaping; Object detection; Resists; Robustness; Shape; Watermarking;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 2009. MMSP '09. IEEE International Workshop on
Conference_Location
Rio De Janeiro
Print_ISBN
978-1-4244-4463-2
Electronic_ISBN
978-1-4244-4464-9
Type
conf
DOI
10.1109/MMSP.2009.5293327
Filename
5293327
Link To Document