COMPARATIVE ANALYSIS OF STEGANOGRAPHIC ALGORITHM SPREAD SPECTRUM METHOD AND INTACTING THE INFORMATION IN THE MEDICAL IMAGES REGARDING THEIR EFFICIENCY

Abstract

Steganography is the art and science of invisible communication. This is accomplished through hiding information in other   information, thus hiding the existence of  the communicated information. People use cryptography to send secret messages to one another without a third party overseeing the message. Steganography is a type of cryptography in which the secret message is hidden in a digital picture. Think of all those pixels in an image and each pixel has three color numbers — there are zillions of numbers in an image. If you were to change a few of these color numbers the resulting picture would probably look a lot like the original image; in fact, most people probably couldn’t tell that you had changed the image at all. Steganography works by changing a few pixel color values; we will use selected pixel values to represent characters instead of a color value. Ofcourse, the resulting image will still look mostly like the original except that a few tiny ”blips” might seem a little out of place if you look very closely. We can then send the image to a buddy and they can extract the message if they know which pixels to decode.

In this paper we will be writing a java application that will enable you to exchange secret messages with another person .Adaptive steganography with a high embedding  capacity and a low distortion is an attractive topic in the area of information hiding. In digital images,  parts with high contrast and noise-like textures have been found to be appropriate locations to hide pseudo-random encrypted messages, due to the statistical similarities between the covert and the selected cover signals . 

Digital steganography is propose to increase medical image security, confidentiality and integrity. Medical image steganography is a special subcategory of image steganography in the sense that the images have special requirements. This paper presents a preliminary study on the degradation of medical images when embedded with Spread Spectrum, using a variety of popular systems. Image quality is measured with a number of widely used metrics, which is applied elsewhere in image processing. The general conclusion that arises from the results is that typical data  embedding can cause numerical and perceptual errors in an image.