Estimation of ISO12233 Edge Spatial Frequency Response from Natural Scene Derived Step-Edge Data
| Autor: | Alexandra Psarrou, Robin B. Jenkin, Sophie Triantaphillidou, Oliver van Zwanenberg |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Measure (data warehouse)
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) General Chemistry Function (mathematics) Atomic and Molecular Physics and Optics Natural (archaeology) Computer Science Applications Electronic Optical and Magnetic Materials Chart Content (measure theory) Computer vision Enhanced Data Rates for GSM Evolution Artificial intelligence Optical resolution business |
| Zdroj: | Journal of Imaging Science and Technology. 65:60402-1 |
| ISSN: | 1943-3522 |
| DOI: | 10.2352/j.imagingsci.technol.2021.65.6.060402 |
| Popis: | The Natural Scene derived Spatial Frequency Response (NS-SFR) is a novel camera system performance measure that derives SFRs directly from images of natural scenes and processes them using ISO12233 edge-based SFR (e-SFR) algorithm. NS-SFR is a function of both camera system performance and scene content. It is measured directly from captured scenes, thus eliminating the use of test charts and strict laboratory conditions. The effective system e-SFR can be subsequently estimated from NS-SFRs using statistical analysis and a diverse dataset of scenes. This paper first presents the NS-SFR measuring framework, which locates, isolates, and verifies suitable step-edges from captures of natural scenes. It then details a process for identifying the most likely NS-SFRs for deriving the camera system e-SFR. The resulting estimates are comparable to standard e-SFRs derived from test chart inputs, making the proposed method a viable alternative to the ISO technique, with potential for real-time camera system performance measurements. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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