High Capacity Steganography using Diamond Encoding

Bhavana Kore

Rishi Ginjupalli

OUTLINE:

Introduction Implementation Experimental Results Program

INTRODUCTION:

Steganography, which means secret writing. It is Hiding some data into digital media like image, video, audio and transmitting that

particular secret data efficiently without any degradation using digital multimedia. A typical image now-a-days uses 24 bits per pixel. Each color is represented by a single byte or 8 bits. Each pixel is represented by red, blue, green(RBG). Each 8 bit field represents 0-255, intensity of color. ‘0’ represents complete dark. ‘128’(equal combination of white and dark)represents gray image. ‘255’ represents complete white.

Objectives and Importance of Steganography

The Objective of Steganography is ‘SECRET COMMUNICATION’.

It is flexible to use any cover image in which we are going to embed secret data.

This communication is secured and the hidden data is not revealed unless and until the users does that.

It is Undetectable i.e., we cannot see the hidden data in the cover image and is impossible to prove that there is hidden data.

Applications Of Steganography:

Secret data Communication.

Access control system for digital content distribution.

These days Steganography is used in Modern printers like HP and XEROX brand color laser printers.

Used in Intelligence Services.

IMPLEMENTATION: Diamond Encoding Technique:

We have different algorithms in implementation of Steganography.

In our project we are using Diamond Encoding Technique for embedding and extraction procedures.

In this ,we conceal (2k^2+2*k+1)-ary digit into a cover pixel pair where k is the embedding parameter.

If a, b be the two pixel values then the diamond characteristic value (DCV) of a, b is defined as f(a,b)=((2*k+1)*a+b)modl; where l= (2k^2+2*k+1)

Embedding Procedure:

Extracting Procedure:

EXPERIMENTAL RESULTS: The mean square error between the cover image and stego image is given by

The distortion between cover image and the stego image is measured from the PSNR value, which is given by