基于直方图的矢量量化压缩图像可逆数据隐藏

P. Tsai
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引用次数: 69

摘要

在许多应用中,如医疗诊断、军事、执法、美术工作等,都需要可逆的数据隐藏。作者提出在矢量量化(VQ)压缩图像中使用可逆数据隐藏应用。研究了预测vq压缩图像的直方图。预测VQ编码后的图像与传统的VQ编码相同。对预测编码VQ图像的索引进行了修改,以嵌入秘密数据。此外,通过恢复程序可以完全重建VQ图像。实验结果表明了该方法的有效性以及嵌入、提取和回收过程的有效性。与其他基于vq的方法相比,该方法具有更高的隐藏能力和更好的隐写图像质量。同时,恢复了无损的VQ图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Histogram-based reversible data hiding for vector quantisation-compressed images
Reversible data hiding is required and preferable in many applications such as medical diagnosis, military, law enforcement, fine art work and so on. The author proposes to use reversible data hiding applications with a vector quantisation (VQ)-compressed image. The histogram of the prediction VQ-compressed image is explored. The prediction VQ encoded image is identical to traditional VQ encoding. The index of prediction encoded VQ images is modified to embed secret data. Furthermore, the VQ images can be completely reconstructed by the recovery procedure. The experimental results show the performance of the proposed method and the efficiency of the embedding, extraction and recovery procedures. In comparison with other VQ-based schemes, the proposed method provides a higher hiding capacity and a better stego-image quality. Also, the lossless VQ image is recovered.
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