Optimizing imaging system performance using Imatest software requires a systematic approach to objective image quality testing. By following structured processes across target selection, lab configuration, analysis, and data interpretation, you can fine-tune your lens, sensor, and Image Signal Processing (ISP) pipeline effectively. 1. Select the Right Test Chart and Substrate
The type of chart you select dictates which image quality factors you can measure and optimize.
Multi-Feature Charts: Use SFRplus or eSFR ISO targets to simultaneously evaluate sharpness, distortion, and color in a single image.
Slanted-Edge Charts: Measure the Spatial Frequency Response (SFR) or Modulation Transfer Function (MTF) to optimize focus and fine-tune edge-sharpening algorithms.
Reflective Substrates: Opt for lower-cost, large inkjet prints for testing long focal-length lenses or wide fields of view.
Transmissive Substrates: Deploy high-precision chrome-on-glass or film charts combined with a back-lit light source to evaluate ultra-high-resolution sensors and deep dynamic range. 2. Configure a Stable Test Environment
Inaccurate lab environments distort measurements, leading to false optimizations.
Uniform Lighting: Ensure flat, glare-free illumination across the chart to prevent shadows from impacting noise and uniformity calculations.
Rigid Mounting: Mount your charts perfectly flat on acrylic or aluminum E-panels to avoid surface bends that degrade perceived sharpness.
Geometric Alignment: Keep the sensor completely parallel to the test chart to ensure uniform focus across the center and corners of the frame. 3. Minimize and Characterize Image Noise
Sensor noise limits sharpness and corrupts dynamic range assessments. Videos – Imatest