首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Image hiding by optimal LSB substitution and genetic algorithm
【24h】

Image hiding by optimal LSB substitution and genetic algorithm

机译:通过最佳LSB替换和遗传算法进行图像隐藏

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, we develop a novel method to embed important data in the host image so that the interceptors will not notice about the existence of the data. The basic concept of the proposed method is by simple LSB substitution. To prevent illicit access of data and increase the system performance, the method of randomized process and the optimal LSB substitution are proposed. The effectiveness of the optimal LSB substitution in the worst case is proved. We also develop a genetic algorithm to solve the problem of hiding important data in the rightmost k LSBs of the host image, which may involve a huge computation time to find the optimal result when k is large. Finally, based on the concept of perceptual modeling, an improved hiding technique is developed to obtain a high-quality embedding result. Experimental results will reveal that the quality of the embedding result will not be seriously degraded, and is near optimal by utilizing the proposed method. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 15]
机译:在本文中,我们开发了一种在重要图像中嵌入重要数据的新方法,以使拦截器不会注意到数据的存在。所提出方法的基本概念是通过简单的LSB替换。为了防止数据的非法访问并提高系统性能,提出了一种随机过程和最优LSB替换的方法。证明了在最坏情况下最佳LSB替代的有效性。我们还开发了一种遗传算法来解决在主机图像的最右k个LSB中隐藏重要数据的问题,这可能需要大量的计算时间才能在k大时找到最佳结果。最后,基于感知建模的概念,开发了一种改进的隐藏技术来获得高质量的嵌入结果。实验结果表明,嵌入结果的质量不会受到严重影响,并且利用所提出的方法几乎是最佳的。 (C)2001模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:15]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号