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Self-recovery Fragile Watermarking Algorithm Based on SPHIT

机译:基于SPHIT的自恢复脆弱水印算法

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A fragile watermark algorithm is proposed, based on SPIHT coding, which can recover the primary image itself. The novelty of the algorithm is that it can tamper location and Self-restoration. The recovery has been very good effect. The first, utilizing the zero-tree structure, the algorithm compresses and encodes the image itself, and then gained self-correlative watermark data, so as to greatly reduce the quantity of embedding watermark. Then the watermark data is encoded by error correcting code, and the check bits and watermark bits are scrambled and embedded to enhance the recovery ability. At the same time, by embedding watermark into the latter two bit place of gray level image's bit-plane code, the image after embedded watermark can gain nicer visual effect. The experiment results show that the proposed algorithm may not only detect various processing such as noise adding, cropping, and filtering, but also recover tampered image and realize blind-detection. Peak signal-to-noise ratios of the watermark image were higher than other similar algorithm. The attack capability of the algorithm was enhanced.
机译:提出了一种基于SPIHT编码的脆弱水印算法,该算法可以恢复原始图像本身。该算法的新颖之处在于它可以篡改位置和自我恢复。恢复效果非常好。首先,该算法利用零树结构对图像本身进行压缩和编码,然后获得自相关的水印数据,从而大大减少了嵌入水印的数量。然后,通过纠错码对水印数据进行编码,并对校验位和水印位进行加扰和嵌入,以提高恢复能力。同时,通过将水印嵌入灰度图像位平面代码的后两位位置,嵌入水印后的图像可以获得更好的视觉效果。实验结果表明,该算法不仅可以检测出噪声添加,裁剪,滤波等各种处理,而且还可以恢复被篡改的图像并实现盲检测。水印图像的峰值信噪比高于其他类似算法。该算法的攻击能力得到了增强。

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