Open Access Open Access  Restricted Access Subscription Access

Minimizing Distortion in Steganog-Raphy based on Image Feature


Affiliations
1 Department of Information Engineering, Lingnan Normal University, ZhanJiang, China
 

There are two defects in WOW. One is image feature is not considered when hiding information through minimal distortion path and it leads to high total distortion. Another is total distortion grows too rapidly with hidden capacity increasing and it leads to poor anti-detection when hidden capacity is large. To solve these two problems, a new algorithm named MDIS was proposed. MDIS is also based on the minimizing additive distortion framework of STC and has the same distortion function with WOW. The feature that there are a large number of pixels, having the same value with one of their eight neighbour pixels and the mechanism of secret sharing are used in MDIS, which can reduce the total distortion, improve the antidetection and increase the value of PNSR. Experimental results showed that MDIS has better invisibility, smaller distortion and stronger anti-detection than WOW.

Keywords

Information Hiding, Minimal Distortion, Secret Sharing, Eight Neighbour Pixels, PSNR, Anti-Detection.
User
Notifications
Font Size

  • Slaughter & Jason & Rahman & Syed Shawon M, (2011) “Information Security Plan for Flight Simulator Applications”, International Journal of Computer Science and Information Technology, Vol. 3, No. 3, pp1-15.
  • Bender W & Gruhi D & Morimoto N, (1996) “Techniques for Data Hiding”, IBM System Journal, Vol. 35, No. 3, pp313-335.
  • T. Filler & J. Judas & J. Fridrich. (2011) “Minimizing additive distortion in steganography using syndrome-trellis codes”. IEEE TIFS, Vol. 6, No. 3, pp920-935.
  • Li-qiong Lu & WuDong, (2015) “Research of the Digital Image Steganography based on spatial domain”, Joural of lingnan normal university, Vol. 1, No. 3, pp105-111.
  • ChenGouxi & ShenHonglei & Wuyuliang & ChenJunjie, (2012) “Research on Sharing and Steganographic Algorithm for Batch Cover Image”, Computer Engineering, Vol. 1, No. 4, pp116-118.
  • B.M. Mehtre, (1993) “Fingerprint image analysis for automatic identification”, Machine Vision and Application, Vol. 1, No. 6, pp124-139.
  • T.Pevny & P.Bas & J.Fridrich, (2010) “Steganalysis by Subtractive Pixel Adjacency Matrix”, IEEE Trans. on Info. Forensics and Security, Vol. 5, No. 2, pp215-224.
  • C.Chen & Y.Q.Shi, (2008) “JPEG image steganalysis utilizing both intrablock and interblock correlations”, International Symposium on Circuits and Systems, Vol. 7, No. 1, pp3029-3032.
  • Jan Kodovský & Jessica Fridrich, (2010) “Ensemble Classifiers for Steganalysis of Digital Media”, Forensics and Security, Vol. 7, No. 2, pp432-444.

Abstract Views: 190

PDF Views: 106




  • Minimizing Distortion in Steganog-Raphy based on Image Feature

Abstract Views: 190  |  PDF Views: 106

Authors

Dong Wu
Department of Information Engineering, Lingnan Normal University, ZhanJiang, China

Abstract


There are two defects in WOW. One is image feature is not considered when hiding information through minimal distortion path and it leads to high total distortion. Another is total distortion grows too rapidly with hidden capacity increasing and it leads to poor anti-detection when hidden capacity is large. To solve these two problems, a new algorithm named MDIS was proposed. MDIS is also based on the minimizing additive distortion framework of STC and has the same distortion function with WOW. The feature that there are a large number of pixels, having the same value with one of their eight neighbour pixels and the mechanism of secret sharing are used in MDIS, which can reduce the total distortion, improve the antidetection and increase the value of PNSR. Experimental results showed that MDIS has better invisibility, smaller distortion and stronger anti-detection than WOW.

Keywords


Information Hiding, Minimal Distortion, Secret Sharing, Eight Neighbour Pixels, PSNR, Anti-Detection.

References