Abstract
This paper proposes a new image steganography scheme in order to hide a secret data in cover image uses the transform domain to increase its robustness and security. Curvelet transform is the new member of the evolving family of multiscale geometric transforms. Since it represents edges better than Wavelet, Curvelet transform offers an effective solution to the problems associated with image steganography using Wavelets and DCT (Discrete Cosine Transform). In this paper we were testing four different steganographic methods. The Radon Transform used in this paper for encoding the secret image to increase security. The software used in this paper is (Matlab V 7.0.4). The results obtained are in accordance with the expected predictions of the existing theory of Curvelet transform.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
