J4 ›› 2016, Vol. 33 ›› Issue (4): 427-436.

• 图像与信息处理 • 上一篇    下一篇

一种KLT优化模式下的图像隐写术

王梅 穆炯 伊祥   

  1. 1 雅安职业技术学院, 四川 雅安 625000; 2 四川农业大学信息工程学院, 四川 雅安 625014
  • 收稿日期:2015-04-09 修回日期:2015-12-09 出版日期:2016-07-28 发布日期:2016-07-28
  • 通讯作者: 王梅(1968-)女,副教授,主要研究领域为信号检测与图形图像处理。 E-mail:13908161488@126.com

An Image Steganography Based on Karhunen-Loeve Transform optimization pattern

  • Received:2015-04-09 Revised:2015-12-09 Published:2016-07-28 Online:2016-07-28

摘要: 针对现有信息安全领域隐写技术存在的感知失真过大和图像源压缩率高造成误差率也高的问题,设计了一种基于KLT(Karhunen-Loeve Transform)优化的图像隐写术。该方法引入KLT算法压缩图像数据,用最低有效位代替加密数据,加上原始像素矩阵获得有效的图像信息。实验结果表明,该方法相比常用的算法在容量上有所提高,信噪比较高,提取到的图像数据失真较小。

关键词: 容量

Abstract: For the problem of perceptual distortion is too large and the high error rate caused by high image source compression rate exists in steganography technology of the current information security area, an image steganography based KLT (Karhunen-Loeve Transform) optimization technique was designed. This method introduces KLT algorithm to compress the image data, instead of the encrypting data with the least significant bit, and a matrix of pixel levels was introduced to obtain an effective image information. Experimental results show that this method has improved capacity, higher SNR and smaller image data distortion, compared to the commonly used algorithms in terms of volume.

Key words: capacity