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Imatest wins Best Validation Simulation Tool award at AutoSens Brussels 2022

Imatest is excited to announce we were awarded Best Validation Simulation Tool for our software and charts at AutoSens Brussels 2022. These awards celebrate the best and brightest working at the cutting-edge of innovation in ADAS and autonomous vehicle technology. View the full list of winners here: https://auto-sens.com/events/awards/

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Imatest Releases Stray Light (Flare) Analysis with Upcoming Version 22.2

September 13th, 2022, Brussels, Belgium, and Boulder, CO. Imatest announced at AutoSens Brussels the release of its new stray light (flare) testing solution, available with Imatest version 22.2. 

 

Stray light, also known as flare, is any light that reaches the detector (i.e., the image sensor) other than through the designed optical path. Stray light can be thought of as systematic, scene-dependent optical noise. Depending on the mechanism causing the stray light, it can produce phantom objects within the scene (i.e., ghosts/ghosting), reduce contrast over portions of the image (e.g., veiling glare), and effectively reduce system dynamic range. These factors can adversely affect the application performance of the camera in a wide variety of applications including automotive, security, machine vision, and consumer electronics, and is addressed in the upcoming IEEE P2020 standard. The Imatest stray light testing setup allows users to measure stray light for imaging systems.

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Imatest Internal Photo Contest Winners

We are happy to showcase the winners of our internal photo contest. Judged by Nasim Mansurov of photographylife.com, our team submitted over 150 images across 5 different categories. Congratulations to our winners!

Best in Show: Jonathan Phillips

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Imatest announces new Target Generator Library

We are happy to announce the release of the new Target Generator Library today. The Imatest Target Generator is free software that will facilitate rapid, iterative lens and camera design by enabling simulations that can help a designer make better informed decisions about what components are appropriate  in advance of costly prototyping phases.

 

The new Imatest Target Generator provides virtual chart solutions. Quantitative and qualitative results from applying ray tracing, noise effects, and image signal processing to virtual charts aid engineers in communicating the impact of various lens and camera design parameters. Image quality deficiencies can be observed and mitigated using a virtual chart during the simulation phase. Virtual charts can aid engineers in comparing and resolving discrepancies between designs and builds. (more…)

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Imatest announces new partnership with Edmund Optics

Imatest is proud to announce a new partnership with Edmund Optics.

The partnership will enable customers to seamlessly buy Imatest software and charts via Edmund Optics’ website, and will help both Imatest and Edmund Optics customers develop quality optical systems.

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Imatest Releases Version 22.1

Imatest Version 22.1 introduces new features including Automatic Chart Identification, Internationalization, ISO 12233 Standards Support, Sagittal/Tangential MTF Plot Updates, and more. (more…)

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Imatest partners with SphereOptics

Imatest is proud to announce our new authorized reseller with SphereOptics. Based in Germany, SphereOptics is a major supplier of technical equipment for the photonics industry. To learn more about our other partnerships and resellers, visit our about page.

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Google’s Android Image Quality Expert Pursues New Role With Imatest

Imatest is happy to welcome Jonathan Phillips, previous Google Android head of imaging, to the team as Vice President of Imaging. Under Phillips’ technical leadership, Imatest will be expanding its software features, equipment portfolio, and consulting services across imaging market segments. As the previous leader of image quality in Google’s Android organization, Phillips focused on the launch and establishment of Google’s Pixel phone line, particularly its camera and display image quality and features. In addition, Jonathan has an extensive background in image quality with NVIDIA and Kodak, and is a co-author of “Camera Image Quality Benchmarking”. (more…)

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Imatest Releases Version 2021.2

Imatest Version 2021.2 introduces our new Main Window User Interface, File First Workflow, Dark Mode, a new ‘Learn’ Function, Distortion Contour Plots for Checkerboard Output, new JSON output fields, and more. (more…)

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Imatest launches Camera Geometric Calibration Validation Service for ADAS and Autonomous Vehicle companies

Imatest, LLC, a leader in image quality evaluation tools, today announced the launch of their new Camera Geometric Calibration Validation service to provide objective metrics for calibration quality. The Service uses upcoming IEEE P2020 geometric calibration standard as a reference. (more…)

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Imatest sells exclusive license for intrinsic geometric calibration software to Furonteer

Imatest, LLC, a leader in image quality testing software, analysis, test charts, and test lab equipment, and Furonteer, the forerunner in the field of ADAS/Autonomous Sensing Camera Assembly & Test Equipment, announced that Furonteer has purchased the exclusive license to Imatest’s intrinsic geometric calibration software. The two companies partnered originally in 2019 to launch the Imatest-Furonteer geometric calibration solution. 

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Imatest Names a new Vice-Chairman

On January 5th, 2021, Imatest annouces Rémi Lacombe as Vice-Chairman of Imatest LLC to guide our success into 2021 and beyond.

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Imatest Founder Norman Koren Receives Lifetime Achievement Award

Imatest LLC Chief Technical Officer and Founder Norman Koren was awarded a Lifetime Achievement Award by AutoSens during the latest AutoSense-Detroit.

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Imatest and Furonteer Reduce Camera Intrinsic Calibration Time with Automated Machines

BOULDER, CO – JUNE 25TH, 2019 — Imatest, a global image quality testing solution provider, partnered with Furonteer, an automation equipment manufacturer, in early 2019 to provide production machines for geometric calibration of single and multicamera devices. (more…)

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P2020 Automotive Engineering Technology May 2019

Imatest attended the P2020 meeting on May 13 and 14, 2019 in Ann Arbor, Michigan. Paul Romancyzk, PhD., Senior Imaging Scientist, and Rob Sumner, Lead Engineer, represented Imatest. Paul co-led the discussion on Color Separation within the Image Quality for Machine Vision subgroup.

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Imatest will Attend AutoSens Detroit on May 14-16, 2019

Imatest will attend AutoSens in Detroit on May 14-16, 2019. AutoSens is a 3-day workshop, conference, and exhibition advancing the education for and development of vehicle perception technology. It brings together over a thousand minds in vehicle perception, ADAS, and autonomous vehicles twice a yearin Detroit, Michigan USA in May, and Brussels, Belgium in September. (more…)

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Imatest at IEEE P2020

Imatest sent two engineers to the IEEE P2020 Automotive Imaging Quality face-to-face meeting in Dusseldorf, Germany this past February in 2019. The IEEE P2020 standard, which is still in development, aims to define KPIs and test procedures to address the many challenges relevant (and often unique) to automotive imaging. (more…)

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Partnership with Shenzhen Polytechnic University

Imatest partnered with Shenzhen Polytechnic University to support the digital image quality testing curriculum at the university. With the expansion of their image quality program, Imatest sponsored and authorized the development of a state of the art research and education lab. (more…)

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New IEEE P2020 Automotive Image Quality White Paper

Learn more about the development of standards for automotive camera systems.

The IEEE-SA P2020 is a working group for automotive imaging standards. Its goal is to define a set of standards to resolve the current ambiguity in the measurement of image quality in automotive imaging systems. (more…)

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Increasing the Repeatability of Your Sharpness Tests

By Robert Sumner
With contributions from Ranga Burada, Henry Koren, Brienna Rogers and Norman Koren

Consistency is a fundamental aspect of successful image quality testing. Each component in your system may contribute to variation in test results. For tasks such as pass/fail testing, the primary goal is to identify the variation due to the component and ignore the variation due to noise. Being able to accurately replicate test results with variability limited to 1-5% will give you a more accurate description of how your product will perform. (more…)

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