Image Transformation Technique Using Steganography Methods Using LWT Technique

Abstract

Digital image watermarking is a technique adopted to get rid of the increasing piracies in digital images. Computerized information can be effectively duplicated, altered and falsifications be made by anybody having a PC. Most inclined to such vindictive assaults are the watermarked pictures distributed in the Internet. Advanced Watermarking can be utilized as a device for finding unapproved information reuse and furthermore for copyright security. In the existing method, texturization dependant image watermarking methodology is performed which involves the embedding and extraction of a logo image to and from an original image respectively. After finding out the texture regions of host image, the logo image is embedded into the identified texture regions by Discrete Wavelet Transform. Before embedding, according to the textual characteristics of the host image analyzed, texturization of a logo is done by using Arnold transform and a rotation. It is effective for attaining a similar texture for both logo image and host image. Later the logo image is extracted back. Discrete Wavelet Transform results in degradation of quality and robustness of watermarked image. Also it is not a difficult task for an attacker to compromise the Arnold transform and rotation performed. In this work, Lifting Wavelet Transform technique is used instead of the Discrete Wavelet Transform as it overcome the above mentioned drawback. In addition, Arnold transform and rotation is replaced with circular shift method for enhancing security.

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