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, automotivemedical and manufacturing.

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Get reliable image quality results throughout R&D and manufacturing
Imatest Master
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.
Imatest Industrial Testing (IT)
Ensure manufacturing outcomes meet product design requirements. Automate analysis modules to efficiently analyze image quality in testing environments.
Imatest 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.
Imatest Ultimate
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.
Our complete software suite offers you the right tools for the job
Imatest Master

Master

Optimize image quality testing

Imatest Ultimate

Ultimate

Refine test settings for real-time
results on one license

Imatest Industrial Testing

IT

Ensure outcomes meet
design requirements

Flexible testing solutions for development and production
Every industry has unique image quality factors and applications to consider
Get insights to the image quality factors that matter most to your camera system
Whether you need to test ultra-wide or macro lenses, we've got a testing solution
Test a variety of camera system components including sensors and autofocus
Increase oversight and traceability with solutions for several industry standards
View our image quality factors guide.
Understand components, modules and standards that are important to your industry testing needs.

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Get in-depth documentation, tips & tricks, technical support and a variety of resources you need for using Imatest.

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We offer several two-day training courses throughout the year for many levels of image engineers.

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Most recent imaging science articles

Imatest Names a new CEO

On January 5th, 2021, Imatest names Rémi Lacombe as Chief Executive Officer of Imatest LLC to guide our success into 2021 and beyond.

Rémi brings a wealth of experience in the imaging field, which will allow Imatest to better serve our partners and customers.

 

About Remi

Rémi brings extensive experience to the Imatest CEO role, leveraging more than 20 years of experience in general management, strategic deals, sales and marketing in the camera and software industry. Rémi is also the SVP Sales and Marketing of Sentons an ultrasonic touch company based in San Jose, CA. Before, Rémi guided DigiLens waveguide technologies into automotive HUD and Augmented Reality smart glasses. Prior to DigiLens, Rémi was VP of Sales and Marketing at InVisage Technologies Inc., an image sensor company acquired by Apple. Earlier in his career, Rémi designed DxO Labs’ imaging technologies into many smartphone devices creating and growing a business that was eventually sold to GoPro.

Rémi received his master’s degree in Engineering Management from Stanford University and holds Applied Science and Engineering degrees from Ecole Polytechnique and Ecole Nationale Superieure des Telecommunications, both in Paris, France.

You can connect with Rémi via LinkedIn here.

Imatest Founder Norman Koren Receives Lifetime Achievement Award

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.

Real-time focusing with Imatest direct data acquisition

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:

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.

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Imatest Releases Version 2020.2

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…)

Image Quality Testing for Webcams

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…)

Correcting Misleading Image Quality Measurements

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).

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Describing and Sampling the LED Flicker Signal

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…)

Validation Methods for Geometric Camera Calibration

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

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