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A Robust Image Watermarking Based on Image Restoration Using SIFT

机译:基于SIFT的基于图像复原的鲁棒图像水印

摘要

This paper introduces a novel robust watermarking scheme for digital images, which is robust against common signal processing and geometric distortion attacks. In order to be resistant to geometric distortion attacks, the matched feature points determined by the scale-invariance feature transform (SIFT) are used for image restoration to reduce the synchronization errors caused by geometric distortion attacks. An adaptive embedding scheme is applied in discrete Fourier transform (DFT) domain of each subimage. The watermark detection decision is based on the number of matched bits between the retrieved and original watermark in the embedding image blocks. Experimental results show that the proposed watermarking is robust to common signal processing attacks and geometric distortion attacks, including rotation, scaling, cropping, shearing and some combined attacks.
机译:本文介绍了一种新颖的数字图像鲁棒水印方案,该方案对常见的信号处理和几何失真攻击具有鲁棒性。为了抵抗几何失真攻击,将由比例不变特征变换(SIFT)确定的匹配特征点用于图像恢复,以减少由几何失真攻击引起的同步误差。自适应嵌入方案应用于每个子图像的离散傅立叶变换(DFT)域。水印检测决策基于嵌入图像块中检索到的水印和原始水印之间的匹配位数。实验结果表明,提出的水印对常见的信号处理攻击和几何失真攻击具有鲁棒性,包括旋转,缩放,裁剪,剪切和一些组合攻击。

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