Analysis of Natural Scene Derived Spatial Frequency Responses for Estimating Camera ISO12233 Slanted-edge Performance
| Autor: | Sophie Triantaphillidou, Alexandra Psarrou, Robin B. Jenkin, Oliver van Zwanenberg |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
business.industry Pattern recognition General Chemistry Atomic and Molecular Physics and Optics Computer Science Applications Electronic Optical and Magnetic Materials Image (mathematics) Chart Content (measure theory) Natural (music) Spatial frequency Artificial intelligence Enhanced Data Rates for GSM Evolution Optical resolution business |
| Zdroj: | Journal of Imaging Science and Technology. 65:60405-1 |
| ISSN: | 1943-3522 |
| DOI: | 10.2352/j.imagingsci.technol.2021.65.6.060405 |
| Popis: | The Natural Scene derived Spatial Frequency Response (NS-SFR) framework automatically extracts suitable step-edges from natural pictorial scenes and processes these edges via the edge-based ISO12233 (e-SFR) algorithm. Previously, a novel methodology was presented to estimate the standard e-SFR from NS-SFR data. This paper implements this method using diverse natural scene image datasets from three characterized camera systems. Quantitative analysis was carried out on the system e-SFR estimates to validate accuracy of the method. Both linear and non-linear camera systems were evaluated. To investigate how scene content and dataset size affect system e-SFR estimates, analysis was conducted on entire datasets, as well as subsets of various sizes and scene group types. Results demonstrate that system e-SFR estimates strongly correlate with results from test chart inputs, with accuracy comparable to that of the ISO12233. Further work toward improving and fine-tuning the proposed methodology for practical implementation is discussed. |
| Databáze: | OpenAIRE |
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