期刊文献+

三维混合变换彩色图像无损信息隐藏算法研究 被引量:1

Lossless information hiding algorithm research of color image on three-dimensional mixing transformation
下载PDF
导出
摘要 对16M真彩色图像无损信息隐藏算法进行了研究,利用颜色空间变换和单个分量色彩的小波变换,以及相邻像素差值的三维混合变换实现图像的有效去冗余和稀疏化,提高频域高频分量自适应直方图调整算法的信息隐藏性能。采用KoDa Inc的16幅国际标准测试图像进行仿真,仿真结果表明,在直方图峰值点自适应平移1位的情况下,SHIRCT+DWT三维混合变换比单独小波变换嵌入容量平均提高128.9%,即平均多嵌入18426字节,PSNR平均提高0.66dB;YFbFr+差值三维混合变换比仅实施YFbFr变换嵌入容量平均提高400%,即平均多嵌入33898字节,PSNR平均提高0.39dB。该算法是有效、实用的无损信息隐藏算法。 1 6 M true color image lossless information hiding algorithm was researched.The transformation on color space,the DWT transformation on single color component and the three-dimensional mixed transformation on difference of adj acent pixels value were used to realize image redundancy reduction and to sparse more effective.This algorithm could improve information hi-ding performance of the high frequency component adaptive histogram adj ustment algorithm in frequency domain.The simulation experimental results on 1 6 KoDa Inc international standard test images showed that the embedding capacity of image increased by 128. 9%on average using the SHIRCT+DWT three-dimensional mixing transformation method compared with the DWT trans-form on color component when adaptive histogram peaks shifted 1bit,which equaled to an increase of 18426bytes embedment on average and the PSNR average increased by 0. 66dB.When using the YFbFr+three-dimensional difference mixing transform method,the embedding capacity increased by 400%on average,comparing with the only YFb Fr transformation implemented si-tuation,it was equal to an increase of 33898bytes on average,and the PSNR averagely increased by 0. 39dB.So this algorithm was an effective and practical lossless information hiding algorithm.
作者 姜卓 解成俊
出处 《计算机工程与设计》 CSCD 北大核心 2014年第7期2305-2311,共7页 Computer Engineering and Design
基金 国家自然科学基金项目(61072111) 吉林省科技厅重点基金项目(20110360 20100530) 吉林省教育厅十二五重点基金项目(2013161)
关键词 无损 颜色空间的色彩变换 离散小波变换(DWT) 相邻像素差值变换 三维混合变换 自适应直方图调整 lossless the color transformation on color space DWT difference of adjacent pixels value three-dimensional mi-xing transformation adaptive histogram adjustment
  • 相关文献

参考文献16

  • 1Xie Cheng-iun, Xu Lin, Bi Xin-wen, eta!: Algorithm for lossless information hiding based on linear prediction template [C] //SPIE, 2009: 421 427.
  • 2Lu Tzu-Chuen, Huang Ying-Hsuan. Improved lossless data hiding mechanisms based on block-based hiding algorithm, double hiding strategy and variable control technique [J]. Journal of Computers, 2010, 20 (4): 5a-62.
  • 3谢于明,程义民,田源,汪云路.基于整数变换的无损隐秘传输方法仿真研究[J].系统仿真学报,2007,19(19):4594-4598. 被引量:6
  • 4Lu Tzu-Chuen, Tsai Chen-Han. An improved lossless hiding technique using integer transform function [J]. International Journal of Innovative Computing, Information and Control, 2009, 5 (9): 2645-2649.
  • 5Ni Zhicheng, Shi Yun Q, Su Wei, et al. Robust lossIess image data hiding designed for semi-fragile image authentication [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2008, 18 (8): 497-509.
  • 6Noura A Saleh, Hoda N Boghdady, Samir I Shaheen, et al. High capacity lossless data embedding technique for palette images based on histogram analysis [J]. Digital Signal Proces- sing, 2010, 20 (6): 1629-1636.
  • 7Zeng Xianting, Ping Lingdi, Li Zhuo. Lossless data hiding scheme using adjacent pixel difference based on scan path [J]. Journal of Multimedia, 2009, 4 (3): 145-152.
  • 8Venkat Narayana Rao T, Govardhan Dr A, Syed Jahangir Ba- dashah. Improved lossless embedding and extraction a data hi- ding mechanism [J ]. International Journal of Computer Science and Information Technology, 2010, 2 (2): 75-86.
  • 9Huang Hui-Yu, Chang Shih-Hsu. A lossless data-hiding tech- nique based on wavelet transform [C] //IAPR Conference on Machine Vision Applications, 2011.
  • 10Yang Ching-Yu, Hu Wu-Chih, Lin Chih-Hung. Reversible data hiding by coefficient-bias algorithm [J]. Journal of Infor- mation Hiding and Multimedia Signal Processing, 2010, 1 (2) : 91-100.

二级参考文献33

共引文献14

同被引文献17

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部