New geometrically invariant multiple zero-watermarking algorithm for color medical images

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.

Automated summary

In this paper, a new geometrically invariant multiple zero-watermarking method using multi-channels shifted Gegenbauer moments of fractional orders (FrMGMs) is proposed to secure medical images. This approach effectively provides better robustness to various standard attacks and outperforms existing algorithms for medical images such as single-, dual-, & triple-zero-watermarking methods.