基于自同步解码和特征点的图像水印同步算法

Keita Takahara, K. Yamaguchi, M. Nakano-Miyatake, H. Perez-Meana
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引用次数: 0

摘要

本文提出了两种利用自同步机制对裁剪操作具有鲁棒性的图像水印算法。在这两种算法中,水印序列首先由非循环低密度奇偶校验码(LDPC)编码,然后使用量化指标调制(QIM)算法嵌入到分块离散余弦变换(DCT)系数中。在水印提取过程中,第一种算法利用和积解码的自同步提取水印序列。第二种方法首先在图像的特征点为中心的区域中提取之前嵌入的一些同步代码,并利用它们计算出分块分割的起始位置。分析了两种算法在不同裁剪率下的水印不可见性和对裁剪攻击的鲁棒性,以及计算机复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Watermarking Algorithms with Synchronization Mechanism Using Self-Synchronization Decoding and Feature Points
In this paper we propose two image watermarking algorithms, which are robust to cropping operation using self-synchronization mechanism. In both algorithms, the watermark sequence is firstly encoded by non-cyclic Low Density Parity Check Codes (LDPC) and then it is embedded into the block-wised Discrete Cosine Transform (DCT) coefficients using the Quantization Index Modulation (QIM) algorithm. In the watermark extraction process, the first algorithm extracts the watermark sequence using self-synchronization of sum-product decoding. While the second one firstly extracts some synchronization code embedded previously in the regions centered by feature points of the image, and using them block segmentation starting position can be calculated. The desirable performance of both algorithms about the watermark imperceptibility and robustness against cropping attack with different cropping rate is shown, together with computer complexity.
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