Camera performance simulator based on information theory
Norman Koren describes a camera performance simulator that includes an image sensor noise model with parameters derived from either dynamic range test chart measurements or EMVA 1288 results. The simulator includes lens degradations and the effects of Image Signal Processing (ISP). Results can be analyzed for standard image quality metrics such as sharpness and noise, or new metrics, derived from information theory, that provide an improved prediction of machine vision system performance.
Imatest Release Version 25.2
Support for IEEE 2020 Flare Method A, updated 36 Patch Dynamic Range, new ColorGray-44 target, Stray Light (Flare) Enhancements
Gamma Scientific RS-9
Gamma Scientific’s tunable light source has been upgraded to be more compact & brighter.
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Imatest Releases Version 25.1
Simatest Camera & ISP Simulator, Open With Imatest, UI & Settings Improvements, Output Documentation
Validating Information Metrics Correlation with Object Detection
We are in the age of Artificial Intelligence that depends on machine vision. This technology surge has necessitated thinking about […]
Improving Image Equity: Representing diverse skin tones in photographic test charts for digital camera characterization
Megan Borek; Imatest LLC; Boulder, CO, USA This paper was presented on 2025-02-05 at Electronic Imaging 2025 Abstract: Accurate representation […]
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. […]




















