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 […]
Camera-based advanced driver-assistance systems (ADAS) require the mapping from image coordinates into world coordinates to be known. The process of computing […]
Shannon information capacity, which can be expressed as bits per pixel or megabits per image, is an excellent figure of […]
Measuring the MTF of an imaging system at its operational working distance is useful for understanding the system’s use case […]
Imatest sent two engineers to the IEEE P2020 Automotive Imaging Quality face-to-face meeting in Dusseldorf, Germany this past February in […]
Abstract As imaging test labs seek to obtain objective performance scores of camera systems, many factors can skew the results.