A Low Rank Quaternion Decomposition Algorithm and Its Application in Color Image Inpainting
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Abstract (arXiv)
In this paper, we propose a lower rank quaternion decomposition algorithm and apply it to color image inpainting. We introduce a concise form for the gradient of a real function in quaternion matrix variables. The optimality conditions of our quaternion least squares problem have a simple expression with this form. The convergence and convergence rate of our algorithm are established with this tool.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Sep 2020.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1.
3 papers.
- 2022Quasi Non-Negative Quaternion Matrix Factorization with Application to Color Face Recognitioncited by 3
- 2024Non-Negative Reduced Biquaternion Matrix Factorization with Applications in Color Face Recognitioncited by 1
- 2023Quaternion tensor left ring decomposition and application for color image inpaintingcited by 0
- 2024Non-Negative Reduced Biquaternion Matrix Factorization with Applications in Color Face Recognition10 Aug 2024
- 2023Quaternion tensor left ring decomposition and application for color image inpainting20 Jul 2023
- 2022Quasi Non-Negative Quaternion Matrix Factorization with Application to Color Face Recognition30 Nov 2022