10 April 2018 Image segmentation-based robust feature extraction for color image watermarking
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106151B (2018) https://doi.org/10.1117/12.2302957
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
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.
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Mianjie Li, Mianjie Li, Zeyu Deng, Zeyu Deng, Xiaochen Yuan, Xiaochen Yuan, "Image segmentation-based robust feature extraction for color image watermarking", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106151B (10 April 2018); doi: 10.1117/12.2302957; https://doi.org/10.1117/12.2302957
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