DocumentCode :
634092
Title :
A new robust semi-blind digital image watermarking approach based on LWT-SVD and fractal images
Author :
Ghaderi, Kayvan ; Akhlaghian, Fardin ; Moradi, Parham
fYear :
2013
fDate :
14-16 May 2013
Firstpage :
1
Lastpage :
5
Abstract :
The paper presents a novel semi-blind watermarking scheme for image copyright protection, which is developed in the Lifting Wavelet Transform (LWT) and is based on Singular Value Decomposition (SVD). We have been used fractal decoding to make a very compact representation of watermark image. In the embedding phase of watermarking scheme, at first; we perform decomposing of the host image with 2D-LWT transform, then SVD is applied to sub-bands of transformed image, and embed the watermark by modifying the singular values. In the watermark extraction phase, the embedded codes are extracted from the watermarked image. Then the watermark image is rendered by running the extracted code. The experiments indicate that the watermark is robust against the different attacks, such as average filter, Jpeg compression, rotation and etc.
Keywords :
copyright; fractals; image coding; image representation; image watermarking; rendering (computer graphics); singular value decomposition; wavelet transforms; 2D-LWT transform; JPEG compression attack; LWT-SVD; average filter attack; embedded code extraction; fractal image decoding; host image decomposition; image copyright protection; image subbands; lifting wavelet transform; robust semiblind digital image watermarking approach; rotation attack; singular value decomposition; watermark extraction phase; watermark image rendering; watermark image representation; watermarking scheme embedding phase; Discrete wavelet transforms; Fractals; PSNR; Robustness; Watermarking; Fractal; Lifting wavelet transforms; Singular value decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2013 21st Iranian Conference on
Conference_Location :
Mashhad
Type :
conf
DOI :
10.1109/IranianCEE.2013.6599633
Filename :
6599633
Link To Document :
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