A Single-Parameter Factor-Graph Image Prior
Fuente:
arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866909992455503872 |
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| author | Wang, Tianyang Konukoglu, Ender Loeliger, Hans-Andrea |
| author_facet | Wang, Tianyang Konukoglu, Ender Loeliger, Hans-Andrea |
| contents | We propose a novel piecewise smooth image model with piecewise constant local parameters that are automatically adapted to each image. Technically, the model is formulated in terms of factor graphs with NUP (normal with unknown parameters) priors, and the pertinent computations amount to iterations of conjugate-gradient steps and Gaussian message passing. The proposed model and algorithms are demonstrated with applications to denoising and contrast enhancement. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_08749 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Single-Parameter Factor-Graph Image Prior Wang, Tianyang Konukoglu, Ender Loeliger, Hans-Andrea Image and Video Processing Computer Vision and Pattern Recognition Signal Processing We propose a novel piecewise smooth image model with piecewise constant local parameters that are automatically adapted to each image. Technically, the model is formulated in terms of factor graphs with NUP (normal with unknown parameters) priors, and the pertinent computations amount to iterations of conjugate-gradient steps and Gaussian message passing. The proposed model and algorithms are demonstrated with applications to denoising and contrast enhancement. |
| title | A Single-Parameter Factor-Graph Image Prior |
| topic | Image and Video Processing Computer Vision and Pattern Recognition Signal Processing |
| url | https://arxiv.org/abs/2601.08749 |