Abstract

In this paper, a novel robust blind digital image water marking scheme is proposed by jointly using discrete wavelet transform (DWT), stationary wavelet transform (SWT), discrete cosine transform (DCT) and singular value decomposition (SVD). Firstly host image is decomposed by DWT and the obtained approximation coefficient is portioned into non-overlapping blocks. For each block, SWT is applied to affine redundant low frequency sub-bands which are subsequently processed by DCT and SVD. Watermark bit is embedded through quantifying the obtained greatest singular value. Extraction of proposed scheme is blind without any referring to the original image or watermark. Experimental result show that watermarked image is visually invisible of which peak signal to noise ratio (PSNR) is above 44 dB. Besides, by comparing with other DWT-SVD robust watermarking approaches, proposed scheme significantly outperforms in robustness against JPEG2000 compression. Performance of proposed scheme is also superior or competitive against other attacks such as rotation, filter or scaling.

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