imatest | Image Quality Testing Software Test Charts

Web Name: imatest | Image Quality Testing Software Test Charts

WebSite: http://www.imatest.com

ID:164967

Keywords:

Quality,Image,imatest,

Description:

Imatest provides customers with software, charts and equipment to meet and exceed image quality testing standards.Imatest gives companies the right tools to test their image capture technology and has been a leader in image quality testing for over 10 years. Whether it’s still shots or video, visible light or infrared, Imatest has helped businesses in a variety of industries, including mobile, automotive, medical and manufacturing. Get reliable image quality results throughout R D and manufacturing Learn more > Comprehensive analysis of image quality factors Test for a variety of image quality factors at once using over 30 popular test charts. Test everything from sharpness, distortion, color, illumination and more. Automate image quality testing in production Ensure manufacturing outcomes meet product design requirements. Automate analysis modules to efficiently analyze image quality in testing environments. Direct interface for image acquisition Automatic image acquisition provides real-time analysis of image quality parameters to speed up the testing process. Remove the need to process individual images. Integrate R&D and Manufacturing Integrate Imatest's software library with factory or lab control systems to refine image quality parameters without having to deal with multiple licenses or computers. Test a variety of camera system components including sensors and autofocus See components Increase oversight and traceability with solutions for several industry standards See standards Imatest LLC Chief Technical Officer and Founder Norman Koren was awarded a Lifetime Achievement Award by AutoSens during the latest AutoSense-Detroit.  In a sparkling virtual ceremony, Norman remarked:“Thank you all for this unexpected honor, which I appreciate all the more because everyone on the short list is outstandingly qualified. My work in imaging is actually my second career, which I started it when I was sixty. It’s been a real honor to help the industry improve the quality of a wide variety of cameras and a pleasure to get to know some amazing people along the way.”Norman founded Imatest in 2004 after a career in magnetic recording technology that provided him with a strong background for developing image quality analysis software. He holds a B.A. in Physics from Brown University and an M.A. in Physics from Wayne State University. Norman has been a photography enthusiast since 1964 and maintains a photography web site, which features a portfolio of his work and a number of technical articles.About Imatest:Headquartered in Boulder, Colorado, Imatest has been a leader in image quality testing for over 15 years. Imatest software, test charts, equipment and consulting services enable clients to develop the best products possible. We serve customers across many industries, including mobile electronics, security, automotive, aerospace, and medical imaging. We provide the tools, resources and knowledge to test all types of imaging systems, from satellites to camera phones, in visible light or infrared.Imatest eliminates bias by providing independent, impartial image quality testing for both design and manufacturing. Our core technology is designed to simulate the human visual system, so clients can be confident they are testing the aspects of their systems that matter most to their customers. Imatest team members are experts in image quality testing so our customers can focus their expertise on creating great products for their core business.You can read about the other winners in the AutoSens-Detroit here. Speed up your testing with real-time focusing in Imatest Version 2020.2.Recent speed improvements allow for real-time focusing and allow users to analyze images from two types of sources:Direct image acquisition from a variety of devices, listed in detail in Supported image acquisition hardware for Imatest Master. Image files listed in Image file formats and acquisition devices,Although the majority of images traditionally analyzed by Imatest have been from files (JPG, PNG, etc.), three modules, which can perform a majority of Imatest s analyses, support direct data acquisition, and can be used for realtime analysis. (more ) Imatest Version 2020.2 adds several new features to Imatest Master and Imatest IT, including Improvements in Calculation Speed, Uniformity Statistics based on EMVA 1288 Standards, Uniformity measurements from ISO 17957:2015, IT For Mac OS, and Tunable Checkerboard Detection. (more ) 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.Sharpness, which is measured by MTF (Modulation Transfer Function) curves, is frequently summarized by MTF50 (the spatial frequency where MTF falls to half its low frequency value). (more ) 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 (more )Shannon information capacity, which can be expressed as bits per pixel or megabits per image, is an excellent figure of merit for predicting camera performance for a variety of machine vision applications, including medical and automotive imaging systems. (more ) Imatest Training Schedule 2021 Class Schedule:March 24-25, 2021: AmericasEnglish; Mountain TimeApril 21-22, 2021: EuropeEnglish; Central European TimeMay 12-13, 2021: Asia PacificEnglish Mandarin; China Standard TimeSeptember 21-22, 2021: AmericasEnglish; Mountain TimeOctober 12-13, 2021: KoreaEnglish Korean; Korea Standard TimeNovember 11-12, 2021: Asia PacificEnglish Mandarin; China Standard Time

TAGS:Quality Image imatest 

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