Challenges in Automotive Image Quality Testing

June 19, 2017
July 12, 2017
Challenges in Image Quality Testing - Watch now

Imatest’s Norman Koren presents his vision for challenges in automotive image quality testing.

  • Review the challenges for human observers and/or machine vision algorithms to resolve low-contrast objects over a wide range of background brightness
  • How to distinguish low contrast patches over the full dynamic range of a test chart
  • Comparing the use of hyperbolic wedges in ISO16505 vs. slanted edges to measure MTF10 in automotive applications
  • Misunderstandings about low contrast slanted-edges

This video was previously recorded at Autosens Detroit 2017, the world’s leading vehicle perception conference. See more more at www.auto-sens.com

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For more information on Imatest’s solutions for testing image quality in the automotive industry, please visit our solutions page. 

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