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文章基本信息

  • 标题:Improved Adaptive LSB Steganography Based on Chaos and Genetic Algorithm
  • 本地全文:下载
  • 作者:Lifang Yu ; Yao Zhao ; Rongrong Ni (EURASIP Member)
  • 期刊名称:EURASIP Journal on Advances in Signal Processing
  • 印刷版ISSN:1687-6172
  • 电子版ISSN:1687-6180
  • 出版年度:2010
  • 卷号:2010
  • DOI:10.1155/2010/876946
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    We propose a novel steganographic method in JPEG images with high performance. Firstly, we propose improved adaptive LSB steganography, which can achieve high capacity while preserving the first-order statistics. Secondly, in order to minimize visual degradation of the stego image, we shuffle bits-order of the message based on chaos whose parameters are selected by the genetic algorithm. Shuffling message's bits-order provides us with a new way to improve the performance of steganography. Experimental results show that our method outperforms classical steganographic methods in image quality, while preserving characteristics of histogram and providing high capacity.

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