Earticle

초록

영어

In allusion to such problems as large perceptual distortion and high error rate caused by high image compression ratio in existing steganography technology in the information security field, an image Steganography based on Karhunen-Loeve transform optimization is proposed in this paper. Specifically, the iterative clustering algorithm is adopted for this method to solve the covariance matrix and the clustering mean value, and relevant values are adjusted for image segmentation; then, KLT algorithm is introduced to compress the image data and the least significant bit is adopted to replace the ciphertext data for data hiding. During information extraction, the reverse linear transformation operation and the original pixel matrix are adopted to obtain the effective hidden image information. The experiment result shows: compared with common algorithms, the proposed method has improved capacity and PSNR, and the image data extracted thereby has small distortion.

목차

Abstract
 1. Introduction
 2. Execution Process of Steganography Algorithm
  2.1. Substitution of Ciphertext Information by Image Pixel Value
  2.2. Image Segmentation Technology
  2.3. KLT application
  2.4. Data Hiding
  2.5. Information Extraction
 3. Experiment Result
 4. Conclusion
 References

키워드

저자

• Li-Yangbo [ Department of Computer Science and Technology, Henan Institute of Technology, Henan , China ]
• Guo-Zuhua [ Department of Computer Science and Technology, Henan Institute of Technology, Henan , China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605