A Super-Resolution Image Reconstruction using Natural Neighbor Interpolation
A super-resolution image reconstruction al- gorithm using natural neighbor interpolation is proposed and its performance is evaluated. The algorithm is di- vided into two stages: image registration and the recon- struction of a high-resolution color image. In the first stage, as shifts between image...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | México |
| Institución: | Instituto Tecnológico y de Estudios Superiores de Monterrey |
| Repositorio: | Redalyc-ITESM |
| OAI Identifier: | oai:redalyc.org:61539886002 |
| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=61539886002 |
| Access Level: | acceso abierto |
| Palabra clave: | Computación high Super resolution motion estimation natural neighbor interpolation |
| Sumario: | A super-resolution image reconstruction al- gorithm using natural neighbor interpolation is proposed and its performance is evaluated. The algorithm is di- vided into two stages: image registration and the recon- struction of a high-resolution color image. In the first stage, as shifts between images are usually unknown, the algorithm computes an approximation of these dis- placements by solving the system of linear equations proposed by Keren, Peleg, and Brada, then the pixels of all low-resolution images are mapped into a high- resolution grid by computing the new coordinates using the motion vectors. In the second stage, the pixel val- ues that match the high-resolution grid are interpolated using natural neighbor interpolation which is a weighted average interpolation method for scattered data, based in the areas of the Voronoi polygons of the neighboring pixels. Finally, the proposed natural neighbor super- resolution algorithm is compared with some popular super-resolution algorithms presented in literature. |
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