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Application of bit-plane decomposition steganography to progressively compressed data

机译:位平面分解隐写术在渐进压缩数据中的应用

摘要

Media data such as still image data is subjected to a wavelet transform, and then the wavelet coefficients are quantized. Bit-planes are prepared for the quantized wavelet coefficients. Confidential information is embedded into the bit-planes by using bit-plane decomposition steganography. The modified quantized wavelet coefficients are prepared based on the bit-planes into which the confidential information is embedded. Entropy encoding is performed on the modified quantized wavelet coefficients. As a result, the information is hidden in the media data subjected to progressive compression. On the other hand, entropy decoding is performed on the compressed data, into which the confidential information is embedded, to obtain quantized wavelet coefficients. A bit-plane structure is obtained from the quantized wavelet coefficients, and the hidden information is extracted from the bit-plane structure. In data communication using the compressed data, a third person is not aware of the presence of the hidden information, so that the security thereof can be enhanced. The bit-plane decomposition steganography becomes applicable to compressed data and is improved in the convenience and safety of its utilization.
机译:对诸如静止图像数据的媒体数据进行小波变换,然后对小波系数进行量化。为量化的小波系数准备位平面。通过使用位平面分解隐写术将机密信息嵌入到位平面中。基于嵌入机密信息的位平面来准备修改的量化小波系数。对修改后的量化小波系数执行熵编码。结果,该信息隐藏在经过渐进压缩的媒体数据中。另一方面,对其中嵌入了机密信息的压缩数据执行熵解码,以获得量化的小波系数。从量化的小波系数获得位平面结构,并且从位平面结构提取隐藏信息。在使用压缩数据的数据通信中,第三人不知道隐藏信息的存在,因此可以提高其安全性。位平面分解隐写术变得适用于压缩数据,并在使用便利性和安全性方面得到了改善。

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