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Video steganography based on bit-plane decomposition of wavelet transformed video

机译:基于小波变换视频的比特平面分解的视频隐图

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This paper presents a steganography method using lossy compressed video which provides a natural way to send a large amount of secret data. The proposed method is based on wavelet compression for video data and bit-plane complexity segmentation (BPCS) steganography. BPCS steganography makes use of bit-plane decomposition and the characteristics of the human vision system, where noise-like regions in bit-planes of a dummy image are replaced with secret data without deteriorating image quality. In wavelet-based video compression methods such as 3-D set partitioning in hierarchical trees (SPIHT) algorithm and Motion-JPEG2000, wavelet coefficients in discrete wavelet transformed video are quantized into a bit-plane structure and therefore BPCS steganography can be applied in the wavelet domain. 3-D SPIHT-BPCS steganography and Motion-JPEG2000-BPCS steganography are presented and tested, which are the integration of 3-D SPIHT video coding and BPCS steganography, and that of Motion-JPEG2000 and BPCS, respectively. Experimental results show that 3-D SPIHT-BPCS is superior to Motion-JPEG2000-BPCS with regard to embedding performance. In 3-D SPIHT-BPCS steganography, embedding rates of around 28% of the compressed video size are achieved for twelve bit representation of wavelet coefficients with no noticeable degradation in video quality.
机译:本文介绍了使用有损压缩视频的隐写方法,提供了一种自然的方式来发送大量的秘密数据。所提出的方法基于视频数据和比特平面复杂性分割(BPC)隐写的小波压缩。 BPCS隐写术利用位平面分解和人类视觉系统的特性,其中伪图像的位平面中的噪声区域被秘密数据替换,而不会降低图像质量。在基于小波的视频压缩方法(SPIHT)算法(SPIHT)算法中的3-D设置分区(SPIHT)算法和运动JPEG2000中,将离散小波变换视频中的小波系数量化为位平面结构,因此可以应用BPCS隐写术。小波域。提出和测试了3-D SPIHT-BPCS隐写术和Motion-JPEG2000-BPCS隐写术,这是三维SPIHT视频编码和BPCS隐写的集成,以及运动-JPEG2000和BPCS的集成。实验结果表明,三维SPIHT-BPC在嵌入性能方面优于运动-JPEG2000-BPC。在3-D SPIHT-BPCS隐写术中,实现了大约28%的压缩视频尺寸的嵌入率对于小波系数的十二位表示,在视频质量中没有明显的降级。

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