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A Novel Robust Blind Digital Image Watermarking Scheme Against JPEG2000 Compression

机译:针对JPEG2000压缩的一种新型鲁棒盲数字图像水印方案

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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.
机译:本文通过共同使用离散小波变换(DWT),固定小波变换(SWT),离散余弦变换(DCT)和奇异值分解(SVD)来提出一种新颖的鲁棒盲数字图像水标记方案。首先,主机图像由DWT分解,并且所获得的近似系数被分配到非重叠块中。对于每个块,SWT被应用于仿射冗余的低频子带,其随后由DCT和SVD处理。通过量化获得的最大奇异值来嵌入水印位。提取所提出的方案是盲目的,没有任何指原始图像或水印。实验结果表明,水印图像在视觉上是不可见的,其中峰值信号与噪声比(PSNR)高于44dB。此外,通过与其他DWT-SVD稳健的水印方法进行比较,所提出的方案显着优于JPEG2000压缩的鲁棒性。拟议方案的性能也是优越或竞争的其他攻击,如旋转,过滤或缩放。

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