Title | Scene-and-Process-Dependent Spatial Image Quality Metrics |
---|
Type | Journal article |
---|
Authors | Fry, E., Triantaphillidou, S., Jenkin, R., Jacobson, R.E. and Jarvis, J. |
---|
Abstract | Spatial image quality metrics designed for camera systems generally employ the Modulation Transfer Function (MTF), the Noise Power Spectrum (NPS), and a visual contrast detection model. Prior art indicates that scene-dependent characteristics of non-linear, content-aware image processing are unaccounted for by MTFs and NPSs measured using traditional methods. We present two novel metrics: the log Noise Equivalent Quanta (log NEQ) and Visual log NEQ. They both employ scene-and-process-dependent MTF (SPD-MTF) and NPS (SPD-NPS) measures, which account for signal-transfer and noise scene-dependency, respectively. We also investigate implementing contrast detection and discrimination models that account for scene-dependent visual masking. Further, three leading camera metrics are revised that use the above scene-dependent measures. All metrics are validated by examining correlations with the perceived quality of images produced by simulated camera pipelines. Metric accuracy improved consistently when the SPD-MTFs and SPD-NPSs were implemented. The novel metrics outperformed existing metrics of the same genre. |
---|
Keywords | Image Quality |
---|
| Image Quality Metrics (IQM) |
---|
| Modulation Transfer Function (MTF) |
---|
| Noise Power Spectrum (NPS) |
---|
| Noise Equivalent Quanta (NEQ) |
---|
| Contrast Sensitivity Function (CSF) |
---|
| Log Noise Equivalent Quanta Metric (Log-NEQ) |
---|
| Scene-and-Process-Dependent MTF (SPD-MTF) |
---|
| Scene-and-Process-Dependent NPS (SPD-NPS) |
---|
Article number | 13 |
---|
Journal | Journal of Imaging Science and Technology |
---|
Journal citation | 63 (6), pp. 060407-1–060407-13 |
---|
ISSN | 1943-3522 |
---|
| 1062-3701 |
---|
Year | 2019 |
---|
Publisher | IS&T - The Society for Imaging and Science and Technology and SPIE |
---|
Accepted author manuscript | License CC BY-ND 4.0 File Access Level Open (open metadata and files) |
---|
Publisher's version | License CC BY 4.0 File Access Level Open (open metadata and files) |
---|
Digital Object Identifier (DOI) | https://doi.org/10.2352/J.ImagingSci.Technol.2019.63.6.060407 |
---|
Publication dates |
---|
Published | 16 Dec 2019 |
---|