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Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image Recovery

机译:具有有效篡改位置检测和高质量图像恢复功能的自嵌入身份验证水印

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摘要

Recently, sensor networks have emerged as a high-impact research area, and a number of high profile applications have been proposed. Although significant progress has already been made on securing basic network protocols, additional research is needed to produce techniques and methods for protecting canonical tasks in wireless sensor networks. In this paper, we propose an effective self-embedding authentication watermarking method for tampered location detection and image recovery. The proposed detection method is classified into block-wise and pixel-wise. In block-wise detection, if the size of the block is small, the false positive rate (FPR) will be low. In pixel-wise detection, when the tampered pixels are detected, only the corresponding pixel area is marked. Therefore, the FPR will be lower than that of the block-wise detection. The experimental results demonstrate that the proposed method was effective, and accurate tamper detection and high-quality recovery can be realized even in highly tampered images.
机译:近来,传感器网络已经成为高影响力的研究领域,并且已经提出了许多高知名度的应用。尽管在保护基本网络协议方面已经取得了重大进展,但是还需要进行其他研究来产生保护无线传感器网络中规范任务的技术和方法。在本文中,我们提出了一种有效的自嵌入认证水印方法,用于篡改位置检测和图像恢复。所提出的检测方法分为块方式和像素方式。在逐块检测中,如果块的大小较小,则误报率(FPR)将较低。在逐像素检测中,当检测到被篡改的像素时,仅标记相应的像素区域。因此,FPR将低于逐块检测的FPR。实验结果表明,该方法是有效的,即使在高度篡改的图像中也可以实现准确的篡改检测和高质量的恢复。

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