基于混合递归矩阵编码的隐写算法改进

Koksheik Wong, Kiyoshi Tanaka
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引用次数: 0

摘要

本文提出了混合数据表示方案,以提高基于dct的隐写方法(称为StegErmelc)的性能。尽管StegErmelc同时实现了可扩展的载波容量、高嵌入效率和低SDR(隐写检测率),但当嵌入率增加到0.10bpc以上时,StegErmelc的SDR急剧增加。StegErmelc的SDR在使用不同参数时也有显著差异。为了抑制SDR的急剧增加和减小使用不同参数时的性能差距,我们提出了一种新的算法,该算法保留尽可能多的以块模式运行的块,并一次一个地改变它们的编码模式,以逐渐准确地增加它们的载波容量。实验结果表明,在嵌入相同信息量的情况下,本文方法的SDR值低于StegErmelc方法,性能差距也小于StegErmelc方法。当嵌入到0.125bpc时,该方法不被检测到。StegErmelc的基本性能也被证实是一致的,无论在使用的图像数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvements of StegErmelc Steganographic Method Using Hybrid Recursive Matrix Encoding
> This paper proposes hybrid data representation schemes to improve the performance of a DCT-based steganographic method called StegErmelc . Even though StegErmelc simultaneously achieves scalable carrier capacity, high embedding efficiency, and low SDR (stego detectable rate), SDR of StegErmelc increases sharply when the embedding rate is increased to more than 0.10bpc. SDR of StegErmelc also varies significantly when using different parameters. To suppress the sharp increase of SDR and to reduce the performance gap when using different parameters,we propose a new algorithm that keeps as many blocks that are operating in block mode as possible, and changes their encoding modes, one at a time, to gradually and accurately increase their carrier capacities. Experimental results show that,when embedding the same amount of information,the proposed method achieves lower SDR than that of StegErmelc and the performance gap of the proposed method is also found to be smaller than that of StegErmelc. The proposed method stays undetectable when embedding up to0.125bpc. Basic performance of StegErmelc is also confirmed to be consistent regardless of the image database in use.
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