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Study on watermarking effect in image-signature association copyright protection model

机译:图像签名关联版权保护模型中的水印效果研究

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This paper aims to compute the effect of the different watermarking techniques on a proposed scheme of image copyright protection. This scheme depends on image association principle rather than image data modification. Hence, it is intended to support the developed technique with essential study to approve the validity with convenient measures and performance criteria. The effect of watermarking is classified in accordance to image format types. In this, distinguished rates of image disturbance are supposed to be injected as noise in either single component or multi components of image colour space attributes. The conducted experiment studied the effect of this noise on output associated signature using neural networks and Matlab. The study also extends to cover some suggestions that can be used as a diagnostic process to discover the intruding techniques from one side. And from the other side is to recover images from the resulting disturbed output resulting from traditional processing, like size and rotation affections towards robustness characteristic preservation.
机译:本文旨在计算不同水印技术对提出的图像版权保护方案的影响。该方案取决于图像关联原理而不是图像数据修改。因此,它旨在通过必要的研究来支持所开发的技术,以方便的措施和性能标准来批准有效性。水印效果根据图像格式类型进行分类。在这种情况下,应该将图像干扰的显着速率作为噪声注入图像色彩空间属性的单个分量或多个分量。进行的实验使用神经网络和Matlab研究了这种噪声对输出相关签名的影响。该研究还涵盖了一些建议,这些建议可以用作从一侧发现入侵技术的诊断过程。从另一方面来说,是从传统处理所产生的干扰输出中恢复图像,例如尺寸和旋转效果对鲁棒性的保护。

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