A watermarking scheme using image object recognition

Guo Lei, Guo Bao-long
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引用次数: 2

Abstract

Most existing watermarking techniques embed watermarks into the entire image without taking the image object region into account. For one kind of image with salient object feature, such as portraits, the object region is more important than other parts. In this paper, we propose a watermarking scheme using image object region, in which we exploit DWT to decompose the image and cluster the high-frequency wavelet coefficients to obtain the embedding domain of the watermarks. In this domain, we embed watermarks based on quantization modulation. Experiments show that this scheme can embed watermarks into important visual region, and consequently it can resist crop attack. Furthermore, the conception of this scheme is consistent with the MPEG4 and MPEG7 coding standard.
一种基于图像对象识别的水印方案
现有的大多数水印技术都是将水印嵌入到整个图像中,而不考虑图像对象区域。对于物体特征突出的一类图像,如人像图像,物体区域比其他部分更为重要。本文提出了一种基于图像目标区域的水印方案,利用小波变换对图像进行分解,并对高频小波系数进行聚类,得到水印的嵌入域。在该领域中,我们基于量化调制嵌入水印。实验表明,该方案可以将水印嵌入到重要的视觉区域,从而抵抗裁剪攻击。此外,该方案的概念与MPEG4和MPEG7编码标准一致。
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