Home › Remote sensing › QIP - Image Processing Functions
QIP - Image Processing Functions QGIS 4 compatibility
QGIS 4 ready Active
Yes — QIP - Image Processing Functions supports QGIS 4 (declared max version 4.99.0).
Image enhancement, noise reduction, contrast, sharpening and pansharpening filters with interactive analysis tools.
About
QIP brings 18 classic image processing functions to QGIS: edge enhancement (Laplacian, Sobel, Prewitt, Roberts, Canny, high-pass), noise reduction (Gaussian, median, bilateral), contrast (histogram equalization, CLAHE, percentile stretch), tone (gamma, logarithmic), sharpening (high-boost / unsharp mask) and pansharpening (Brovey, IHS, PCA). Every function is available as a Processing algorithm (Toolbox, Graphical Modeler, batch mode, qgis_process). An interactive panel previews filters on the whole layer or the current map extent, chains them into pipelines, and explains each one with histograms, CDFs, transfer curves, frequency spectra, difference maps, similarity metrics (SSIM, PSNR, correlation) and a mathematical description. Georeferencing, CRS and NoData are preserved. Only libraries bundled with QGIS are used (NumPy, SciPy, GDAL, Matplotlib); no extra installation is needed. All processing runs locally.
| Author | Kaan Kılıçarslan |
|---|---|
| Downloads | 83 |
| Latest version | 0.1.1 (experimental) |
| Last updated | 2026-09-25 (20 days ago) |
| Min QGIS | 3.28.0 |
| Max QGIS | 4.99.0 |
| QGIS 4 ready | Yes |
| Maintenance | Active |
| Categories | Remote sensing, Spatial analysis |
| Tags | raster, image processing, filter, enhancement, edge detection, contrast, clahe, pansharpening, remote sensing, analysis, processing |
Homepage · Repository · Issue tracker · Official page
Alternatives in Remote sensing
- Semi-Automatic Classification PluginQGIS 4 ready
The Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the do
- Google Earth EngineQGIS 4 ready
Integrates QGIS with Google Earth Engine
Raster classification in QGIS with 11 machine learning algorithms, Optuna hyperparameter search, SHAP explanations, class imbalance handling
Related plugins
- AI Edit by TerraLabQGIS 4 ready
Generative AI image editing for QGIS 3.22 to 4. Show a redevelopment, a planted street, a flood or an orthophoto redrawn as a clean site pla
- RasterStretchNot QGIS 4 ready
This plugin visualizes raster layers using percentile-based contrast stretching (default 2–98).
- Unsupervised ClassifierQGIS 4 ready
Plugin for unsupervised classification or clustering of satellite images. Part of MAS Raster Processing tools.
- QGIS Full Motion VideoQGIS 4 ready
Full Motion Video plugin for QGIS 4.
- SAR VIEWNot QGIS 4 ready
A specialized tool for Synthetic Aperture Radar (SAR) visualization. It automatically converts raw intensity/amplitude data to Decibels (dB)
- GeoCAR VisionNot QGIS 4 ready
An easy way to process sensor bands: Landsat 5 (B3, B4, B5), Landsat 8 (B4, B5, B6, B8), CBERS-4A (B5, B4, B3) and Sentinel-2 (B11, B8, B4)
Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.