Imatest Version 2020.2 adds several new features to Imatest Master and Imatest IT, including Improvements in Calculation Speed, Uniformity Statistics based on EMVA 1288 Standards, Uniformity measurements from ISO 17957:2015, IT For Mac OS, and Tunable Checkerboard Detection.

Improvement in calculation speed

Enhanced real-time acquisition and analysis speed in Imatest Master. Up to 6x speedup of slanted-edge SFR calculations, especially when acquiring directly from supported cameras. Significant improvement in speed of other types of analysis. Speedup depends on camera resolution.

Uniformity statistics based on EMVA 1288

Calculates Spatial and Temporal noise, Dark Signal Nonuniformity (DSNU), Photoresponse Nonuniformity (PRNU) and total SNR. Vertical and horizontal spectrograms and profiles show statistical distributions of the image.

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Uniformity measurements from ISO 17957:2015

Generates shading measurements for luminance nonuniformity.

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Imatest IT for Mac OS

Brings the functionality of Imatest IT to Mac OS users. Includes Objective-C , Python, and EXE interfaces.

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Tunable Checkerboard Detection

A new interface allows users to set tuning parameters for detection of Checkerboard targets. Checkerboard detection can now achieve detection over the whole field of view, where previous versions only found a rectangular subset of target points.

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Minor Features

  • llumination Nonuniformity from Slanted Edge Modules – Calculates mean levels for slanted-edge ROI, which shows non-uniformity due to lens shading and nonuniform illumination. Works with all slanted edge modules.

  • Lighting Control 2-channel 16-bit DMX Control for Kino Flo Lights – Provides increased precision for fine tuning light levels on supported 16-bit lights. Read More Details

  • Rescharts Display Improvements – Additional contour lines to 2D and multi-ROI summary and expanded viewing area for 3D plots. More Details

  • Additional Help – A new help interface explains menus and sections of the main window.

  • Uniformity – Display of temporal noise image

  • YUV420 and YUV422 Raw support