2D-FRFT Based Rotation Invariant Digital Image Watermarking

Author

Lei Gao ; Lin Qi ; Shouyi Yang ; Yongjin Wang ; Tie Yun ; Ling Guan

Author_Institution

Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China

fYear

2012

fDate

10-12 Dec. 2012

Firstpage

286

Lastpage

289

Abstract

The extraction of rotation invariant representation is important for many signal processing problems such as image analysis, computer vision, and pattern recognition. In this paper, we present a systematic analysis of the Two-Dimensional Fractional Fourier Transform (2D-FRFT), and show that under certain conditions, the 2D-FRFT technique possesses the attractive property of rotation invariance. Based on our analysis, we proposed a novel digital image watermarking method which combines 2D chirp signal with the addition and rotation invariant properties of 2D-FRFT to achieve improved robustness and security. The effectiveness of the proposed solution is demonstrated through experiments.

Keywords

Fourier transforms; computer vision; image coding; image representation; image watermarking; security of data; 2D chirp signal; 2D fractional Fourier transform; 2D-FRFT; addition invariant property; computer vision; image analysis; pattern recognition; robustness; rotation invariant digital image watermarking; rotation invariant representation extraction; security; signal processing; Chirp; Digital images; Fourier transforms; Robustness; Time frequency analysis; Watermarking; 2D-FRFT; digital image watermarking; rotation invariance;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia (ISM), 2012 IEEE International Symposium on

Conference_Location

Irvine, CA

Print_ISBN

978-1-4673-4370-1

Type

conf

DOI

10.1109/ISM.2012.60

Filename

6424673