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首页> 外文会议>International Conference on Graphic and Image Processing >Image Segmentation-based Robust Feature Extraction for Color Image Watermarking
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Image Segmentation-based Robust Feature Extraction for Color Image Watermarking

机译：基于图像分割的彩色图像水印功能提取

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摘要

This paper proposes a local digital image watermarking method based on Robust Feature Extraction. The segmentation is achieved by Simple Linear Iterative Clustering (SLIC) based on which an Image Segmentation-based Robust Feature Extraction (ISRFE) method is proposed for feature extraction. Our method can adaptively extract feature regions from the blocks segmented by SLIC. This novel method can extract the most robust feature region in every segmented image. Each feature region is decomposed into low-frequency domain and high-frequency domain by Discrete Cosine Transform (DCT). Watermark images are then embedded into the coefficients in the low-frequency domain. The Distortion-Compensated Dither Modulation (DC-DM) algorithm is chosen as the quantization method for embedding. The experimental results indicate that the method has good performance under various attacks. Furthermore, the proposed method can obtain a trade-off between high robustness and good image quality.
机译：本文提出了一种基于鲁棒特征提取的局部数字图像水印方法。基于该分段，基于该分段，基于该聚类（SLIC），提出了用于特征提取的基于图像分割的鲁棒特征提取（ISRFE）方法。我们的方法可以自适应地从SLIC分段的块中提取特征区域。该新方法可以在每个分段图像中提取最强大的特征区域。每个特征区域通过离散余弦变换（DCT）分解成低频域和高频域。然后将水印图像嵌入到低频域中的系数中。选择失真补偿的抖动调制（DC-DM）算法作为嵌入的量化方法。实验结果表明，该方法在各种攻击下具有良好的性能。此外，所提出的方法可以在高稳健性和良好的图像质量之间获得权衡。

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