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首页> 外文期刊>IEEE Transactions on Consumer Electronics >Data hiding in images via multiple-based number conversion and lossy compression
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Data hiding in images via multiple-based number conversion and lossy compression

机译:通过基于多次的数字转换和有损压缩将数据隐藏在图像中

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摘要

A novel and easy method to embed any form of secret messages into a cover image with controlled distortion is proposed. Any lossy image compressor may be applied first to a cover image to produce a lossily-processed result as the basis for embedding data in the cover image. The stego-image is produced by embedding data in each pixel of a cover image by changing its gray value without excessing the range of the gray value difference of the corresponding pixels of the cover image and its lossily-processed one. The quantity of distortion that is caused by embedding data is never in excess of that is caused by the lossy compressor. A multiple-based number system is proposed to convert the information in the secret bit stream into values to be embedded in the choosing pixels of the cover image. Pseudo-random mechanisms may be used to achieve cryptography. It is found from experiments that the values of the peaks of the signal-to-noise ratio of the stego-images are larger than those yielded by the chosen compressor, which means that the distortion in the embedding result is more imperceptible than that in the compressed one.
机译:提出了一种新颖,简单的方法,可以将任何形式的秘密消息嵌入具有受控失真的封面图像中。可以首先将任何有损图像压缩器应用于封面图像,以产生经过有损处理的结果,作为在封面图像中嵌入数据的基础。通过改变数据的灰度值而将数据嵌入到封面图像的每个像素中而不会超出封面图像的相应像素及其经过有损处理的像素的灰度值差的范围,从而生成隐秘图像。嵌入数据引起的失真量永远不会超过有损压缩器造成的失真量。提出了一种基于多重的数字系统,以将秘密比特流中的信息转换为要嵌入在封面图像的选择像素中的值。伪随机机制可用于实现加密。从实验中发现,隐秘图像的信噪比峰值大于所选压缩器产生的峰值,这意味着嵌入结果中的失真比压缩器中的失真更难以察觉。压缩一个。

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