New geometrically invariant multiple zero-watermarking algorithm for color medical images. (September 2021)

• Record Type: Journal Article
• Authors: Hosny, Khalid M.; Darwish, Mohamed M.
• Is Part Of: Biomedical signal processing and control. Volume 70(2021)
• Publication Date: 2021-09
• Subjects: Color medical images -- Multiple Zero watermarking -- Fractional-order orthogonal moments -- Geometric attacks -- Image processing attacks; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2021.103007
• Languages: English
• ISSNs: 1746-8094

Abstract

Highlights: A novel set of multi-channels shifted Gegenbauer moments of fractional orders (FrMGMs) is proposed. Geometric Invariants of the FrMGMs are derived. New Multiple Zero-watermarking Algorithm for Color Medical Images is presented using FrMGMs. The proposed approach effectively provided better robustness to various standard attacks. The proposed approach outperformed the existing single-, dual-, & triple-zero-watermarking algorithms. Abstract: The single watermarking algorithm for medical images faced several inherent problems like lack of security. In this paper, a new geometrically invariant multiple zero-watermarking method is proposed to secure medical images. We proposed a novel set of multi-channels shifted Gegenbauer moments of fractional orders (FrMGMs). These moments are used to extract the geometrically invariant features from the color medical images. Then we construct a featured image of the original medical image using the magnitude of the selected precise FrMGMs moments. Finally, we applied a scrambling method to scramble the watermark image and then the exclusive OR operation to the images' feature and scrambled watermark to construct a zero-watermark. Experimental results proved that the proposed approach effectively provided better robustness to various standard attacks and outperformed the existing single-, dual-, & triple-zero-watermarking algorithms for medical images.