Author: Henry Koren
2024 Year In Review
In 2024, Imatest greatly increased our image quality testing capabilities with significant advancements across software, hardware, charts, and solutions. We […]
Imatest releases version 24.2
Concentric ring FOV, ISO Sharpness target support, batch folder processing, console panel, macOS Sequoia
Imatest 20th Anniversary
Imatest was founded by Norman Koren in Boulder, Colorado, in 2003. On September 4th 2004, we sold our first Imatest 1.0 licenses. […]
AutoSens Europe 2024
Join us and other automotive imaging industry experts on October 8-10 in Barcelona, Spain. We will present our advanced testing methods and algorithms […]
Using Imatest with CODE V 2D Image Simulation (IMS)
Imatest test charts raster files and can be used with 2D Image Simulation (IMS) to create images with the degradations […]
Photometry Luminance and Illuminance units vs. Radiometry Radiance and Irradiance units
This knowledge base post describes why lightboxes are traditionally described in photometric illuminance units of Lux, despite a more appropriate […]
Imatest release new version Imatest 24.1
Custom Metadata, Edge Informatiom Metrics, DNG improvements, Stray Light improvements & Registration Mark Detection.
Imatest Presented at AutoSens USA 2024
Leader SFR-Fit MTF Measurement Software SFR-Fit is camera resolution measurement software that measures MTF (Modulation Transfer Function). MTF indicates spatial […]
Imatest Electronic Imaging 2024 Recap
Have a virtual visit to our booth and read the papers we published to advanced imaging science.
Recommendations for the Detection and Analysis of the ISO 12233:2023 e-SFR Slanted Star
Sarah Kerr gives recommendations for reliably detecting and analyzing the new “slanted star” e-SFR feature introduced in ISO 12233:2023, which adds sagittal and tangential edge orientations — addressing ROI-placement and cross-orientation comparison challenges through simulation and experimentally validated results.
Evaluation of Signal and Noise Metrics of High Dynamic Range Image Sensors by IEEE P2020 Methodology
Orit Skorka (onsemi) and Imatest co-authors evaluate signal and noise metrics for high-dynamic-range automotive image sensors using the IEEE P2020 methodology, showing how the photon-transfer-curve (PTC) test and its derivatives must be adapted from legacy standard-dynamic-range procedures (e.g., EMVA 1288) to HDR sensor modes.
Test Lab Services Drone Comparison
Skydio reached out to Imatest for an independent, objective comparison of different manufacturers’ drones. Our focus was on critical aspects […]
2023 Imatest Year in Review
This year has been a milestone for Imatest. We’ve introduced an array of innovative products, software, and services, thanks to […]
Imatest release new version Imatest 23.2
Including support for the 2023 “slanted star” revision of the ISO 12233 resolution standard, improved stray light, and improved dynamic […]
Uniform Reflectance Targets
These targets provide spectrally neutrality and diffuse Lambertian reflectance for camera uniformity testing. Available in a range of sizes for […]
Virtual Visit to Imatest’s Booth at Autosens Brussels 2023
At Autosens Brussels 2023, Imatest demonstrated the Imatest Benchtop Test Stand-Stray Light/Target Projector Version. Norman Koren, founder of Imatest, presented […]
Call for Participation in Perceptual Image Quality Research
The IEEE P1858 standard for Camera Phone Image Quality has produced two revisions of its Camera Phone Image Quality (CPIQ) […]
Correlating the Performance of Computer Vision Algorithms with Objective Image Quality Metrics
by Henry Koren 1. Why care about the quality of your cameras? The task of computer vision (CV) involves analyzing […]
Imatest not vulnerable to Apache log4j security compromise
Security researchers disclosed the following vulnerabilities in the Apache Log4j Java logging library: CVE-2021-44228: Apache Log4j2 JNDI features do not […]

















