Estimation of Image Quality in Visual Aided Navigation System
| Autor: | Maryna Mukhina, Svitlana Ilnytska, Dmytro Shevchuk |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Polynomial
business.industry Computer science Image quality ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Navigation system Pattern recognition Peak signal-to-noise ratio Probabilistic method Kriging Computer Science::Computer Vision and Pattern Recognition Image scaling Artificial intelligence business Interpolation |
| Zdroj: | 2020 IEEE 6th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC). |
| DOI: | 10.1109/msnmc50359.2020.9255576 |
| Popis: | The problem of image interpolation and restoring has been considered in terms of image quality estimation by peak signal-to-noise ratio and structural similarity index measure. For investigation the datasets of texture images have been used from open resources. Polynomial based interpolation methods have been compared with probabilistic method known as Gaussian Process Regression. The recommendation of what method to be used from the point of view of the quality, computing time and stability have been given. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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