Improved adaptive LSB steganography based on chaos and genetic algorithm

  • Authors:
  • Lifang Yu;Yao Zhao;Rongrong Ni;Ting Li

  • Affiliations:
  • Institute of Information Science, Beijing Jiaotong University, Beijing, China;Institute of Information Science, Beijing Jiaotong University, Beijing, China;Institute of Information Science, Beijing Jiaotong University, Beijing, China;Institute of Information Science, Beijing Jiaotong University, Beijing, China

  • Venue:
  • EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
  • Year:
  • 2010

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Abstract

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.