Abstract

Traditional watermarking algorithms suffer from degradations in watermarked image during embedding phase and also bound by differing necessities like embedding capacity, robustness and transparency, these issues can be eliminated using zero watermarking. Zero watermarking facilitates reverse and blind watermark extraction features as it guarantees the integrity of the host image after embedding the watermark image. In this work two methods of zero watermarking algorithms for medical image authentication is proposed, discussions on the two methods one involving singular-value decomposition and the other using composite CT-SVD domain were presented. Experimentations were carried out using medical images. The proposed model best suits for healthcare institutions, as such the proposed scheme is highly resilient and robust against various attacks and facilitates in authenticating the medical images and also present additional information regarding clinical results to the radiologist remotely located. The comparison results show that the proposed method is more robust than further zero watermarking schemes.

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