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ImageQualityToolset QGIS 4 compatibility
Not QGIS 4 ready Active
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
Computes MTF and SNR image quality metrics from satellite imagery using Knife Edge, Bridge (Pulse), and Variogram methods.
About
The Image Quality Toolset is a QGIS plugin developed in the context of the ESA AI4QC project. It targets remote sensing Calibration/Validation users as a supporting tool for Quality Control (QC) of satellite imagery. It integrates into the QGIS Processing Toolbox and provides a command-line interface to perform image quality assessments from Regions of Interest (ROIs) defined on an input raster. ROIs are processed to derive Modulation Transfer Function (MTF) and Signal-to-Noise Ratio (SNR) image quality measures. Results are exported as diagnostic PNG figures and cumulative GeoPackage reports. Three methods are available: - MTF Knife Edge Method: estimates MTF from a sharp contrast transition between two uniform areas. Derived metrics include MTF@Nyquist, MTF30, MTF50, FWHM, RER, HEE, and R². - MTF Bridge (Pulse) Method: estimates MTF from a narrow pulse target (bridge structure). - SNR Variogram Method: computes SNR by combining a Histogram method and a Variogram method, with per-pixel local SNR estimation. Each method requires an input raster and a polygon ROI (shapefile). Radiometric scale and offset parameters allow conversion from raw DN to radiance. Results are accumulated across runs in a GeoPackage report, one feature per analysis, with full metadata and geometry. The plugin uses a dual-license model: the QGIS integration layer is released under GPL v3; the core signal-processing algorithms (MTF, SNR, ESF models, variogram) are released under Apache 2.0.
| Author | Telespazio TIM |
|---|---|
| Downloads | 347 |
| Latest version | 1.0 |
| Last updated | 2026-06-25 (113 days ago) |
| Min QGIS | 3.0.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Category | Remote sensing |
| Tags | remote sensing, snr, calibration, sharpness, image quality, knife edge, lsf, satellite, mtf, esf, validation, raster |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.