FidMTF: An MTF Estimator

Robust ESF, PSF, FWHM & MTF estimation from low-quality images and synthetic edge creation.

It is recommendable to read the algorithm description first.

QGIS Plugin

To improve its usability I’ve integrated the algorithm in a QGIS Plugin. In order to use it you will need QGIS 3.10 or higher.

Installation

You can use the QGIS Plugin Manager. Use Plugins -> Manage and Install Plugins -> All to search and install install the package.
Once installed, the MTF Estimator option will be available in the Plugins menu.

Usage

• Load the study image
  Remote rasters (WMS, Tile Server) are not supported
  Check that the image is projected to a regular grid or has no geolocation information at all. Geolocation based on RPCs or GCPs is not supported. If your image is geolocated this way, a workaround is just to remove the geolocation metadata.
  

• Load or create a vector layer containing the polygon that defines the area of interest. Once drawn don’t forget to save it
  

• Open MTF Estimator from the Plugins menu
  

• Select the study image and band
  

• Select vector layer
  

• Run the algorithm
  It may take some time. During the time that the task requires the dialog window will be unresponsive. This is definitely something to improve for future versions.</br> Once the process is completed a log will be shown. If there was enough data with sufficient quality a results window will appear.</br>

• Examine the outputs
  The results window has its own toolbar containing pan, zoom, and save tools. Additional data can be found in the log window.

Obtaining Successful Results

• It is advisable to read the algorithm description first.
• The edge must be straight and sharp. A man-made target is more likely to have these features.
• The high and low reflectance surfaces near the edges must be uniform.
• Remember that the algorithm works with vertical edges. Its angle is important. If you need estimations along just transpose (or rotate) the image.

Contributing and Bug Reporting

• If you wish to contribute patches you can fork the project, make your changes, commit to your repository, and then create a pull request.
  
• You can report bugs as issues

Contact

Contact me on Linkedin