A Novel DWT-Based Watermarking for Image with The SIFT

Yuan Xu Yuan Xu, Qiang Zhang, Changjun Zhou


A kind of scale invariant features transformation (SIFT for short) operators on DWT domain are proposed for watermarking algorithm. Firstly, the low frequency of the image is obtained by DWT. And then the SIFT transformation is used to calculate the key feature points for the low frequency sub-image. Based on the chosen space’s key points with moderate scale, a circular area as watermark embedding area is constructed. According to the research and final results, the novel digital watermark algorithm is proposed benefiting from the characteristics of SIFT’s key points and local time-frequency of DWT. The algorithm not only has good robustness to resist on such operations as compression, shearing, noise addition, median filtering and scaling, but also has good inhibition to possible watermark fake verification.

Full Text:



FY Shih and SYT Wu. Combinational Image Watermarking in The Spatial and Frequency Domains. Pattern Recognition. 2003; 36: 969-975.

G Doërr and JL Dugelay. A Guide Tour of Video Watermarking. Signal processing: Image Communication. 2003; 18: 263-282.

HY Lee et al. Robust Image Watermarking Using Local Invariant features. Optical Engineering. 2006; 45: 037002.

SH He et al. Digital Watermarking Technology and Application. Science Press. 2004.

D Xiang and Y Xiong. Image Watermarking Algorithm Based on DWT. Computer Engineering and Design. 2005; 26: 611-643.

CM Li et al. Resist Geometric Attacks Algorithm Based on SIFT. Journal of Optoelectronics. Laser. 2009; 20(6): 802-806.

J Feng. The Research and Improvement of SIFT Algorithm. Changchun: Ji Lin University. 2010.

C Deng and XB Gao. A Watermarking Algorithm to Resist Geometric Attacks Based on SIFT Feature Regions. Acta Photonica Sinica. 2009; 38: 1005-1010.

RX Hao and YZ Peng. An Algorithm Based on SIFT and DCT to Resist Geometric Attacks. Microcomputer & Its Applications. 2010; 20(1): 49-52.

L Jin and HM Xia. A Method About Robust Watermarking of Wavelet Domain Based on The SIFT Features. Computer Application Research. 2009; 26(2): 766-774.

LY He et al. An Image Watermarking Method Against Geometric Distortion Based on SIFT Feature Points. Computer Engineering and Applications. 2007; 43: 58-60.

N Mohsen et al. Efficient JPEG 2000 Image Compression Scheme for Multihop Wireless Networks. TELKOMNIKA. 2011; 9: 311-318.

S Emy et al. Image Encryption on Mobile Phone Using Super Encryption Algorithm. TELKOMNIKA. 2012; 10: 835-843.

DOI: http://dx.doi.org/10.12928/telkomnika.v11i1.904

Article Metrics

Abstract view : 92 times
PDF - 83 times


  • There are currently no refbacks.

Copyright (c) 2014 Universitas Ahmad Dahlan

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus, 9th Floor, LPPI Room
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120 ext. 4902, Fax: +62 274 564604

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.