ENGLISH

Abstract

Steganography is the art of hidden inscription, used prominently to cover text, image, video and audio. The persistence of steganography is to hide the presence of a message from a third party. The intention of this paper is to achieve statistical security without degrading the stego image quality and to improve undetectability. This paper conceals the secret image behind the original image to obtain the stego image. The extraction of inversion pattern, rotation pattern and invariant local binary pattern is preceded to calculate the distortion of cover image. The obtained image is scrambled in order to distribute the pixels uniformly. To reduce the embedding impact of image and to improve the statistical security, Syndrome Trellis Code (STC) is employed which mainly uses the convolutional code with Viterbi algorithm. The steganography application is realized in STC technique by covering the binary image over the original image. The resultant stego image is obtained after proceeding with the STC technique. The proposed technique is simulated in MATLAB and implemented in Spartan 3 FPGA, interfaced with VGA controller to ensure in real time applications.