Hilhorst, Sjoerd (2025) Error-bounded Image Triangulation with Mesh Colors. Master's Thesis / Essay, Computing Science.
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Abstract
Image triangulation tries to partition an image into a set of triangles that approximate the image. The goal is to create a compact representation that can be used for various purposes, such as image compression, image editing, and scaling. In this thesis, we extend the recent paper on Error-bounded Image Triangulation by Fang et al. by introducing automatic mesh color fitting. The proposed method allows for adaptive mesh color resolution and applies this in areas of complex gradients to reduce color error. We evaluate our method on a diverse set of images and compare it to the state-of-the-art method by Fang et al. Our results demonstrate that our method generates more visually appealing results and handles complex color gradients better. We also show that our method is capable of producing high-quality results with fewer triangles than the state-of-the-art method.
| Item Type: | Thesis (Master's Thesis / Essay) |
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| Supervisor name: | Kosinka, J. |
| Degree programme: | Computing Science |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 25 Feb 2025 08:23 |
| Last Modified: | 25 Feb 2025 08:23 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/34765 |
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