DocumentCode :
174131
Title :
Reliable RGB color image watermarking using DWT and SVD
Author :
Islam, Rashed ; Jong-Myon Kim
Author_Institution :
Dept. of Electr./Electron. & Comput. Eng., Univ. of Ulsan, Ulsan, South Korea
fYear :
2014
fDate :
23-24 May 2014
Firstpage :
1
Lastpage :
4
Abstract :
This paper proposes a reliable RGB color image watermarking which uses discrete wavelet transform (DWT) and singular value decomposition (SVD) for embedding and extracting watermark. The DWT and SVD applied on the watermark image increase information hiding capacity and perceptual similarity of the watermarked image. In the watermarking embedded stage, the processed watermark information using the proposed method is embedded into three color components (R, G and B) with an optimum watermarking scaling factor (α). In the extraction stage, the resultant watermark is calculated by averaging the three extracted watermarks from R, G and B components. The experimental results show that the proposed method achieves high normalized correlation (NC) of the extracted watermark and high peak signal to noise ratio (PSNR) of the watermarked image after several image processing attacks. In addition, the proposed method outperforms other conventional methods in terms of perceptual similarity, robustness, and detection rate.
Keywords :
correlation methods; data encapsulation; discrete wavelet transforms; feature extraction; image colour analysis; image watermarking; singular value decomposition; DWT; PSNR; SVD; color components; discrete wavelet transform; high normalized correlation; high peak signal-to-noise ratio; image processing attacks; information hiding capacity; optimum watermarking scaling factor; perceptual similarity; reliable RGB color image watermarking; singular value decomposition; watermark extraction stage; watermarking embedded stage; Color; Discrete wavelet transforms; Image color analysis; PSNR; Robustness; Watermarking; Discrete Wavelet Transformation; RGB color space; Singular Value Decomposition; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2014 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-5179-6
Type :
conf
DOI :
10.1109/ICIEV.2014.6850815
Filename :
6850815
Link To Document :
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