Image embedding in image using complexity segmentation based on dynamic allocation of standard deviation

  • Authors:

  • Aradhana Manekar

  • Affiliations:

  • Thakur College of Engineering and Technology, Mumbai, India

  • Venue:
  • Proceedings of the International Conference & Workshop on Emerging Trends in Technology
  • Year:
  • 2011

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Abstract

In this paper, an image steganography system implemented is described, in which the data hiding (embedding) is realized in bit planes by using image segmentation based on a local complexity measure. A complexity measure is defined in Steganography for discriminating noisy regions in an image. This paper presents a revised method for embedding data into an image by dynamic variation in complexity threshold measure. The principle of the method is based on that of bit plane complexity based steganography. High embedding rates are achieved with low distortion based on the theory that noise-like regions in an image's bit-planes can be replaced with noise-like secret data without significant loss in image quality Percentage embeddable area of complex images is around. 50% without visual distortion showing PSNR above 30dB, which is the unique salient feature of this technique.