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STEGNOGRAPHY

Platform : DSP

AIM: To hide the data information in the image ABSTRACT For years, people have devised different techniques for encrypting data while others have attempted to break these encrypted codes. For our project we decided to put our wealth of DSP knowledge to use in the art of steganography. Steganography is a technique that allows one to hide binary data within an image while adding few noticeable changes. Technological advancements over the past decade or so have brought terms like “mp3,” “jpeg,” and “mpeg” into our everyday vocabulary. These lossy compression techniques lend themselves perfectly for hiding data. We have chosen this project because it gives a chance to study several various aspects of DSP. First, we devised our own compression technique which we loosely based off jpeg. There have been many steganographic techniques created so far, which compelled us to create two of our own strategies for hiding data in the images we compress. Our first method, zero hiding, adds the binary data into the DCT coefficients dropped in compression. Our other method, which we called bit-o-steg, uses a key to change the values of coefficients that remain after compression. Finally, we had to find ways to analyze the success of our data hiding strategies, so through our research we found both DSP and statistical methods to qualitatively measure our work. LEARNING OBJECTIVE: For secure data transmission one of the way is to hide data in the image and recover it from image. INPUT: Hidden data in Image. OUTPUT : Recovered data APPLICATIONS: Secure data transmission in communication. SOFTWARE TOOL USED: MATLAB 2007A

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