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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：基于图像分割的鲁棒特征提取用于彩色图像水印

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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：提出了一种基于鲁棒特征提取的局部数字图像水印方法。分割是通过简单线性迭代聚类（SLIC）实现的，在此基础上，提出了一种基于图像分割的鲁棒特征提取（ISRFE）方法进行特征提取。我们的方法可以从SLIC分割的块中自适应提取特征区域。这种新颖的方法可以在每个分割的图像中提取最鲁棒的特征区域。通过离散余弦变换（DCT）将每个特征区域分解为低频域和高频域。然后将水印图像嵌入到低频域的系数中。选择失真补偿抖动调制（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均具有良好的性能。此外，所提出的方法可以获得高鲁棒性和良好图像质量之间的折衷。

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