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首页> 外文会议>2011 Eighth International Conference on Computer Graphics, Imaging Visualization >Invariant Digital Image Watermarking Using Adaptive Harris Corner Detector
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Invariant Digital Image Watermarking Using Adaptive Harris Corner Detector

机译：使用自适应哈里斯角检测器的不变数字图像水印

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摘要

A robust and geometric invariant digital image watermarking scheme based on feature extraction and histogram distribution is proposed in this paper. The feature extraction method called Harris Corner Detector is adopted and revised by adjusting the response threshold value and ranking the response R value to extract feature points and thus define the regions for watermark data bits embedding and extraction. Each embedding region is a square matrix centering at the selected feature points. For watermark embedding, some pixels are moved to form a specific pattern in the intensity-level histogram distribution in each embedding region, indicating the watermark. For watermark extraction, the Adaptive Harris Corner Detector is adopted to restore the image to its original un-rotated position. According to the intensity-level histogram distribution in each embedded region, the watermark is extracted. Experimental results show that the proposed scheme is very robust against rotation, scaling, JPEG compression, median filtering, low-pass Gaussian filtering and also noise pollution.
机译：提出了一种基于特征提取和直方图分布的鲁棒几何不变数字图像水印方案。通过调整响应阈值并对响应R值进行排序来采用和修改称为哈里斯角点检测器的特征提取方法，以提取特征点，从而定义用于嵌入和提取水印数据位的区域。每个嵌入区域都是一个以所选特征点为中心的方阵。对于水印嵌入，移动一些像素以在每个嵌入区域的强度级别直方图分布中形成特定图案，以指示水印。对于水印提取，采用自适应哈里斯角检测器将图像恢复到其原始未旋转位置。根据每个嵌入区域中强度级别的直方图分布，提取水印。实验结果表明，该方案在旋转，缩放，JPEG压缩，中值滤波，低通高斯滤波以及噪声污染方面具有很高的鲁棒性。

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