• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2011 19th Iranian Conference on Electrical Engineering >A new int2int high capacity robust steganography method with LSB 1/3 and rounding method for embedding message
【24h】

A new int2int high capacity robust steganography method with LSB 1/3 and rounding method for embedding message

机译：一种新的具有LSB 1/3的int2int大容量鲁棒隐写方法和用于消息嵌入的取整方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper a new way for hiding message in digital images is proposed, that is robust against ALE[1] and past other steganalysis methods. It has high capacity and good perceptual transparency and robustness. Proposed steganography method uses 2D int2int wavelet transform[2] and based on Ramani''s idea[3], divides sub bands to 8×8 blocks and constructs bit planes of each block, uses the cawagushi criteria for computing bit plane complexity[4] and then computes the capacity of block by founding the first most significant bit that has complexity more than threshold[5]. If the capacity is 1, uses the LSB 1/3[6] and if it is more than 1 uses rounding method for embedding message. Capacity of block is saved in three least significant bits of first value of block. After each embedding in each block ALE steganalysis feature vectors[1] are computed and if they change more than specified number TE, we ignore embedding in this block, save the value 0 or “000” in first value of block and replace the main numbers in block. Keep embedding from next block according to pseudo random number generator stream. At final calculates inverse 2-D int2int wavelet transform and obtains the stego image.
机译：在本文中，提出了一种用于在数字图像中隐藏消息的新方法，这对于ALE [1]和过去其他隐藏方法是鲁棒的。它具有很高的容量和良好的感知透明度和鲁棒性。提出的隐写方法使用2D INT2INT小波变换[2]并基于Ramani'的想法[3]，将子带划分为8×8块并构造每个块的位平面，使用Cawagushi标准来计算比特平面复杂度[4然后，通过创建一个比阈值的复杂性的第一个最高有效位来计算块的容量[5]。如果容量为1，请使用LSB 1/3 [6]，如果它超过1，则使用舍入消息的舍入方法。块的容量保存在块的第一个最低值的三个最低有效位中。在每个块ALE SLE SET SET分析特征向量[1]中的每个嵌入后，如果它们更改超过指定的数字TE，则在此块中忽略嵌入，在第一个值中保存值0或“000”并替换主号码在块中。根据伪随机数生成器流从下一个块中嵌入嵌入。在最终计算逆2-D INT2INT小波变换并获得STEGO图像。

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