Multimodal Fusion-Based Image Hiding Algorithm for Secure Healthcare System

The development of artificial intelligence plays a significant role of multimedia applications, especially in the healthcare domain. However, it has brought about the problem of sensitive information leakage. To address these challenges, an interesting multimodal fusion-based robust image hiding algorithm is proposed in this article. First, fused image is considered as mark image generated from MRI and CT images using nonsubsampled shearlet transform. Second, we employed principal component analysis to compute the appropriate coefficients of cover image for embedding purpose. Third, fused mark image is Arnold cat map encoded to address the security issue hidden mark media. Finally, the fusion of fractional dual-tree complex wavelet transform and randomized singular value decomposition is utilized to conceal encrypted fused mark media inside host image. Our findings show that the proposed algorithm outperforms some of the recent techniques in terms of high robustness and invisibility.