The Reversible Texture Synthesis Method provides a secure data embedding efficiency because the size of the cover image is vary depends upon the secret message. This will make to store large amount of information. The stegano analytic algorithm is used to extract the secret message from source texture. The distortion of image is very low in our opposed system. Reducing distortion is the crucial issue in existing method this will overcome by our system. This system can embed the size of the image and provide high quality image which avoids the distortion of image quality which the existing system can not. The proposed system is much more robust against any kind of attack and provide high degree of security to the confidential data hidden inside the image patches. The proposed system can be combined with other steganographic systems to provide high degree of security. With this system the message can not be accessed by any person except the authorized person and who is having a secure key with him.
Prof. Vikas Chavan is Assistant Professor at the Karmaveer Bhaurao Patil College of Engineering. He holds a M.E. in Computer Engineering from Savitribai Phule Pune University. He has 2 years of experience in teaching and 2 years of experience in industry.
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LAP LAMBERT Academic Publishing
Data Embedding, example-based approach, Changable, Steganography, texture synthesis
TECHNOLOGY / General