Webcams are an increasingly vital tool for working remotely and staying connected with friends and loved ones. As such, webcam sales have experienced significant growth. We all know good and bad quality images when we see them, but quantifying a camera’s performance is critical for making design choices, sourcing components, and performing quality control. Developing these devices presents challenges common to the development of consumer cameras. (more…)
We discuss several common image quality measurements that are often misinterpreted, so that bad images are falsely interpreted as good, and we describe how to obtain valid measurements.
High-frequency flickering light sources such as pulse-width modulated LEDs can cause image sensors to record incorrect levels. We describe a model with a loose set of assumptions (encompassing multi-exposure HDR schemes) which can be used to define the Flicker Signal, a continuous function of time based on the phase relationship between the light source and exposure window. (more…)
Camera-based advanced driver-assistance systems (ADAS) require the mapping from image coordinates into world coordinates to be known. The process of computing that mapping is geometric calibration. This paper provides a series of tests that may be used to assess the goodness of the geometric calibration
Imatest, a global image quality testing solution provider, is pleased to announce Imatest 2020.1 that adds new features on top of the major enhancements made in version 5.2. This new release further enhances the software with stability updates and regular improvements. See the Imatest Change Log for details.
Imatest Customers and Partners,
As the COVID-19 coronavirus continues to spread, the health and safety of our team, community, customers and partners are our top priority. In accordance with recommendations from U.S. Centers for Disease Control and Prevention (CDC ); the World Health Organization (WHO); and local, state and federal governments, Imatest is taking steps to help prevent it spreading further and to minimize the impact. (more…)
BOULDER, CO -September 4, 2019—Imatest, a global image quality testing solution provider, and Furonteer, an automation equipment manufacturer, are finalists for the Best Validation/Simulation Tool Award provided by AutoSens, a forum for Advanced driver-assistance systems (ADAS) technologists. (more…)
A camera’s Dynamic Range (DR) is the range of tones in a scene that can be reproduced with adequate contrast and good signal-to-noise ratio (SNR). Camera DR is often limited by flare light, which is stray light in the image, primarily caused by reflections between lens elements. Flare light reduces DR by fogging images; i.e., washing out detail in dark areas. (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.
by Henry Koren, inspired by Paul Romanczyk, edited by Norman Koren
Not all MTF measurement systems will necessarily provide the same results. The quality of the test target can impact the measurements you obtain. Long distance tests are ideally performed at the hyperfocal distance, where there is enough depth of field to have acceptable focus at infinity. (more…)
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…)