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software requirement specification for image steganography

INTRODUCTION

Steganography is a technique for information hiding. It aims to embed secret data into a digital cover media, such as digital audio, image, video, etc., without being suspicious. On the other side, steganalysis aims to expose the presence of hidden secret messages in those stego media. If there exists a steganalytic algorithm which can guess whether a given media is a cover or not with a higher probability than random guessing, the steganographic system is considered broken. In practice two properties, undetectability and embedding capacity should be carefully considered when designing a steganographic algorithm. Usually, the larger payload embedded in a cover, the more detectable artifacts would be introduced into the stego. In many applications, the most important requirement for steganography is undetectability, which means that the stegos should be visually and statistically similar to the covers while keeping the embedding rate as high as possible. In this paper, we consider digital images as covers and investigate an adaptive and secure data hiding scheme in the spatial least-significant-bit (LSB) domain.

SYSTEM ANALYSIS

Existing System:

However, we find that in most existing approaches, the choice of embedding positions within a cover image mainly depends on a pseudorandom number generator without considering the relationship between the image content itself and the size of the secret message.
We find that the existing PVD-based approaches cannot make full use of edge information for data hiding, and they are also poor at resisting some statistical analyses.

Proposed System:

We expand the LSB matching revisited image steganography and propose an edge adaptive scheme which can select the embedding regions according to the size of secret message and the difference between two consecutive pixels in the cover image.For lower embedding rates, only sharper edge regions are used while keeping the other smoother regions as they are. When the embedding rate increases, more edge regions can be released adaptively for data hiding by adjusting just a few parameters.