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…)
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.
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 year—in Detroit, Michigan USA in May, and Brussels, Belgium in September. (more…)
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…)
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…)
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…)
We now offer a complete, customizable image quality testing solution for security camera systems to provide our customers with an easy, effective way to outfit their labs. While working with some of the top security camera manufacturers, our engineers have compiled all of the necessary lab materials in a convenient package. (more…)
Autofocus plays a major role in many camera system applications with variable focus, including consumer electronic devices. Camera systems must be able to focus at a variety of distances. Optical systems on cameras only allow a certain range of distances from the camera to be in focus at once (this is often known as the depth of field, or depth of focus). (more…)
Over the last few years, the automotive industry has taken great strides to incorporate camera systems into vehicles. From ADAS to rear-view cameras, there are many applications for camera systems in vehicles.
With this integration of camera systems in the automotive industry, companies now have a variety of image quality factors to verify and standards to adhere to.
Imatest is a leader in image quality testing solutions for the automotive industry. Join us for this free webinar to learn more about image quality testing in the automotive industry.
During this webinar, you can expect to learn:
- An introduction to image quality factors and industry standards
- What image quality factors matter most to the automotive industry
- An overview of tests to deploy for automotive camera systems
- How to begin testing your camera systems
For many engineers tasked with designing camera systems for a product, image quality testing is a complicated endeavour given the variety of test charts and measurements available.
Understanding which image quality factors to measure in your product and how to interpret results will ensure your product is equipped with quality imaging systems.
Join us on October 12, 2016 for a free webinar, Fundamentals of Image Quality Testing, presented by Imatest’s Director of Engineering, Henry Koren.
Imatest 4.5 is the most powerful version of the platform yet with enhancements and additions for a variety of industries, including automotive, medical, consumer electronics, security, and more. The newest features give users increased flexibility in the range of target distances and light levels to improve your high-speed, automated testing.
To learn more, please visit imatest.com/4.5.
Imatest is pleased to announce their partnership with Sofica, a group of camera algorithm validation and test automation experts based in Finland. This partnership will bring mobile device customers a revolutionary, robot-aided R&D test automation system integrated with Imatest analysis software and test charts.
What is CPIQ?
IEEE-SA working group P1858 created the CPIQ standard. CPIQ seeks to standardize image quality test metrics and methodologies across the mobile device industry, correlate objective test results with human perception, and combine this data into a meaningful consumer rating system.
Imatest is pleased to announce the release of version 4.4, which includes the following features:
Support for all 2016 Camera Phone Image Quality (CPIQ) standard metrics for mobile device image quality. CPIQ serves as a way to assess and communicate image quality to the vast majority of consumers who are unsure how to judge and compare device image quality. See a full CPIQ overview.
Now available for download
Main features include:
- Support for all CPIQ metrics for 2016 international standards for mobile device image quality.
- Autofocus, Auto White Balance, and Auto Exposure metrics for faster image adjustments.
- Additional controls for Image Sensor (IS) device management.
- Floating Licenses adds flexibility for shared work environments.
- Image processing module to assess the effect of standard image processing algorithms on image quality.
We are pleased to announce Imatest 4.3. New features include:
- Support for Linux (Ubuntu 14.04) across all Imatest software
- Python API for IT for a simplified, flexible development environment
- SSIM module for estimating the loss of image quality caused by image processing, especially data compression