1. Denoising Hyperbolic-Valued Data by Relaxed Regularizations
- Author
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Beinert, Robert and Bresch, Jonas
- Subjects
Mathematics - Numerical Analysis ,Mathematics - Optimization and Control ,94A08, 94A12, 65J22, 90C22, 90C25 - Abstract
We introduce a novel relaxation strategy for denoising hyperbolic-valued data. The main challenge is here the non-convexity of the hyperbolic sheet. Instead of considering the denoising problem directly on the hyperbolic space, we exploit the Euclidean embedding and encode the hyperbolic sheet using a novel matrix representation. For denoising, we employ the Euclidean Tikhonov and total variation (TV) model, where we incorporate our matrix representation. The major contribution is then a convex relaxation of the variational ans\"atze allowing the utilization of well-established convex optimization procedures like the alternating directions method of multipliers (ADMM). The resulting denoisers are applied to a real-world Gaussian image processing task, where we simultaneously restore the pixelwise mean and standard deviation of a retina scan series., Comment: 12 pages, 4 figures, 1 table
- Published
- 2024