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Concentric ring FOV module (ISO 8600-3)

Accurately measure field of view based on ISO 8600-3:2019 Standard methods. This simplifies complex field-of-view measurements and enhances visual representation, ensuring precision and reliability in your assessments.

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Concentric ring FOV analysis showing detected ring locations with directional field angles and full FOVs

eSFR ISO 12233 2023 9-star target support

In addition to the Extended target initially supported by Imatest 23.2, the eSFR ISO analysis module now supports 9-star variant of the ISO 12233 2023 standard resolution target.

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Imatest eSFR 2023 chart with slanted-edge squares, wedges, gray ring and color patches

Interface Improvements

  • Settings interface improvements: Warnings will display if invalid values are loaded for settings included in the new main window. Improved format for Stray Light settings.

  • Batch folder processing: Drop folders into the main window to be run as a batch with filtering by filename and extension, inclusion by checkbox, and drag-and-drop reordering.

  • Console panel: Monitor errors, warnings, and informational messages in real-time during image processing.

  • Restore session: Imatest will remember the last images and selected analysis when closed, and ask if you would like to load them when re-launching.

Imatest 24.2 interface improvements: batch folder, restore session dialog and console log

Stray Light

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Saturated image of the light source showing measurable stray light and flare streaks

Additional Features


  • macOS Sequoia support

  • Logarithmic display for Decompanding Plot

  • User Read Raw to convert RAW file to BMP

  • Flatfield – different thresholds for light and dark blemishes

  • Information metrics includes Edge Location Standard Deviation output. Edge SNRi removed.

  • Added YUV 422 UYVY and YUY2 file formats

  • Auto Exposure and Auto White Balance now includes the ability to set a custom settling time threshold

  • Imatest IT - IT/C++ and IT/Objective-C now have samples with CMake project files

macOS Sequoia banner

Automatic Chart Detection Improvements

  • Now includes the Skip Refinement Step registration mark setting. Enabling this setting increases the likelihood of successful registration mark detection at the cost of less accurate localization.

  • Now includes the High Noise Correction registration mark setting. Enabling this setting increases the likelihood of successful registration mark detection for scenes with poor SNR.

  • Improved chart identification when adding multiple images at once.

Automatic detection of a registration mark target with four numbered slanted-edge ROIs
If you would like to access this release, you will need current support or a current subscription license.

Check your license eligibility, renew support on your perpetual license, purchase a subscription license, or contact [email protected].