# A fragile zero-watermarking method based on dual quaternion matrix decomposition

arXiv: https://arxiv.org/abs/2510.27307 · HTML: https://mlsanity.com/paper/2510.27307/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 28 references that are in the map.
- First posted on arXiv 31 Oct 2025.

## Builds on (most cited first, 1 of 1)

- [A Power Method for Computing the Dominant Eigenvalue of a Dual Quaternion Hermitian Matrix](https://mlsanity.com/paper/2304.04355/) (2023)

## Abstract (arXiv)

Medical images play a crucial role in assisting diagnosis, remote consultation, and academic research. However, during the transmission and sharing process, they face serious risks of copyright ownership and content tampering. Therefore, protecting medical images is of great importance. As an effective means of image copyright protection, zero-watermarking technology focuses on constructing watermarks without modifying the original carrier by extracting its stable features, which provides an ideal approach for protecting medical images. This paper aims to propose a fragile zero-watermarking model based on dual quaternion matrix decomposition, which utilizes the operational relationship between the standard part and the dual part of dual quaternions to correlate the original carrier image with the watermark image, and generates zero-watermarking information based on the characteristics of dual quaternion matrix decomposition, ultimately achieving copyright protection and content tampering detection for medical images.