Multimedia Tools and Applications

, Volume 76, Issue 6, pp 7973–7987 | Cite as

LSB based non blind predictive edge adaptive image steganography

  • Soumendu Chakraborty
  • Anand Singh Jalal
  • Charul Bhatnagar
Article

Abstract

Image steganography is the art of hiding secret message in grayscale or color images. Easy detection of secret message for any state-of-art image steganography can break the stego system. To prevent the breakdown of the stego system data is embedded in the selected area of an image which reduces the probability of detection. Most of the existing adaptive image steganography techniques achieve low embedding capacity. In this paper a high capacity Predictive Edge Adaptive image steganography technique is proposed where selective area of cover image is predicted using Modified Median Edge Detector (MMED) predictor to embed the binary payload (data). The cover image used to embed the payload is a grayscale image. Experimental results show that the proposed scheme achieves better embedding capacity with minimum level of distortion and higher level of security. The proposed scheme is compared with the existing image steganography schemes. Results show that the proposed scheme achieves better embedding rate with lower level of distortion.

Keywords

Edge adaptive High level bit plane Low level bit plane Predictive image 

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Soumendu Chakraborty
    • 1
  • Anand Singh Jalal
    • 2
  • Charul Bhatnagar
    • 2
  1. 1.Department of Information TechnologyIndian Institute of Information TechnologyAllahabadIndia
  2. 2.Department of Computer Engineering and ApplicationGLA UniversityMathuraIndia

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