The influence of image capture and processing on MTF for end of line test and validation

Brian Deegan; Edward Jones; Martin Glavin

The influence of image capture and processing on MTF for end of line test and validation

Electrical & Electronic Engineering

University of Galway
Valeo

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

2 Citations (Scopus)

Abstract

Slanted edge MTF measurement as per ISO12233 is the de facto standard for measuring camera sharpness at manufacturing end of line. MTF measured by slanted edge has a number of advantages for measuring sharpness, being scale invariant, and relatively robust to geometric distortion. However, slanted edge MTF measurement is known to be affected by image processing algorithms, including demosaic, edge enhancement, and denoise algorithms. To avoid these confounding factors, it is increasingly common to measure MTF directly from the raw sensor image. This approach is logical if you are assessing the optomechanical lens-imager alignment and focus. However, end-of-line production testing has specific requirements, including speed of execution, repeatability and reproducibility. These requirements are typically not considered when configuring a camera for end-of-line MTF measurement. In this study, the execution time, repeatability and reproducibility of MTF measurement for multiple image capture and image processing combinations are examined.

Original language	English (Ireland)
Article number	126
Number of pages	5
Journal	Electronic Imaging
Volume	35
Issue number	16
Publication status	Published - 1 Jan 2023
Event	IS and T International Symposium on Electronic Imaging: Autonomous Vehicles and Machines, AVM 2023 - San Francisco, United States Duration: 15 Jan 2023 → 19 Jan 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Brian Deegan and Dara Molloy and Jordan Cahill and Jonathan Horgan and Enda Ward and Edward Jones and Martin Glavin

Cite this

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title = "The influence of image capture and processing on MTF for end of line test and validation",

abstract = "Slanted edge MTF measurement as per ISO12233 is the de facto standard for measuring camera sharpness at manufacturing end of line. MTF measured by slanted edge has a number of advantages for measuring sharpness, being scale invariant, and relatively robust to geometric distortion. However, slanted edge MTF measurement is known to be affected by image processing algorithms, including demosaic, edge enhancement, and denoise algorithms. To avoid these confounding factors, it is increasingly common to measure MTF directly from the raw sensor image. This approach is logical if you are assessing the optomechanical lens-imager alignment and focus. However, end-of-line production testing has specific requirements, including speed of execution, repeatability and reproducibility. These requirements are typically not considered when configuring a camera for end-of-line MTF measurement. In this study, the execution time, repeatability and reproducibility of MTF measurement for multiple image capture and image processing combinations are examined.",

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AB - Slanted edge MTF measurement as per ISO12233 is the de facto standard for measuring camera sharpness at manufacturing end of line. MTF measured by slanted edge has a number of advantages for measuring sharpness, being scale invariant, and relatively robust to geometric distortion. However, slanted edge MTF measurement is known to be affected by image processing algorithms, including demosaic, edge enhancement, and denoise algorithms. To avoid these confounding factors, it is increasingly common to measure MTF directly from the raw sensor image. This approach is logical if you are assessing the optomechanical lens-imager alignment and focus. However, end-of-line production testing has specific requirements, including speed of execution, repeatability and reproducibility. These requirements are typically not considered when configuring a camera for end-of-line MTF measurement. In this study, the execution time, repeatability and reproducibility of MTF measurement for multiple image capture and image processing combinations are examined.

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The influence of image capture and processing on MTF for end of line test and validation

Abstract

UN SDGs

Authors (Note for portal: view the doc link for the full list of authors)

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