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Image tamper detection and recovery using adaptive embedding rules

机译:使用自适应嵌入规则进行图像篡改检测和恢复

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Many image tamper detection methods implement authentication and recovery in units of blocks; however, these methods do not consider the characteristics of blocks to distinguish watermark embedding and detection modes, thus resulting in poor hiding effects. We suggest that embedding an excessive number of bits within a region with only a slight change in an image to record recovery information is unnecessary. In addition, more recovery information is required in a region with major changes to improve recovery quality. Therefore, this study used smoothness to distinguish the types of image blocks, and employ different watermark embedding, tamper detection, and recovery strategies for different block types to enhance hiding efficiency, authentication, and recovery effects. The experimental results regarding the authentication error rate and image quality showed that the proposed scheme has satisfactory performance. (C) 2016 Elsevier Ltd. All rights reserved.
机译:许多图像篡改检测方法以块为单位实现身份验证和恢复。但是,这些方法没有考虑块的特征来区分水印的嵌入和检测方式,从而导致较差的隐藏效果。我们建议不需要在图像中稍有变化的区域内嵌入过多的位来记录恢复信息。另外,在具有重大变化的区域中需要更多的恢复信息以提高恢复质量。因此,本研究使用平滑度来区分图像块的类型,并对不同的块类型采用不同的水印嵌入,篡改检测和恢复策略,以提高隐藏效率,身份验证和恢复效果。关于认证错误率和图像质量的实验结果表明,该方案具有令人满意的性能。 (C)2016 Elsevier Ltd.保留所有权利。

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