Image Quality Factors
The highest quality images are created by optimizing many key image quality factors. Noise is an undesirable random spatial variation, visible as grain in film, or pixel level fluctuation in digital images. Learn how Noise effects your camera system using Imatest.
Lateral chromatic aberration (LCA), AKA lateral chromatic displacement (LCD) and “color fringing”, is a lens aberration that causes colors to focus at different distances from the image center. It is most visible near the corners of images. In this video, we will explain the techniques used to measure for LCA.
The highest quality images are produced by optimizing many key factors. Dynamic Range is characterized by the ratio between the highest light intensity that a camera system can capture and the darkest tones that become indistinguishable from noise. Dynamic range measurements are useful for optimizing system performance and for verifying camera design specifications. Informed consumers seek camera systems with superior dynamic range, which can capture information in dark shadows while maintaining detail in brighter areas.
Lens shading, Light falloff & Vignetting: Where your image becomes darker the further you get from the center. This is due to the radial nature of the lens which collects more light in the center. It can be particularly strong with wide angle lenses. Non-uniformity is also caused by the chief ray angle of light incident to the sensor which has reduced quantum efficiency as the angle increases.
The Imatest Reflective Module is designed to work with Kino Flo Freestyle 31 lights and reflective charts. High-quality hardware allows you to effortlessly position lights, while angle and position markers indicate light bank locations for repeatable lighting configurations. The Imatest Wide Field of View (WFOV) Module provides an easy to use platform for testing sharpness of cameras with FOV up to 200 degrees.
Imatest 2020.2 has been sped up to the point where real-time focusing is possible.
A brief explanation is required. Broadly speaking, Imatest can analyze images from two types of source.
- image files in a great many formats, listed in Image file formats and acquisition devices,
- direct data acquisition from a variety of devices, listed in detail in Supported image acquisition hardware for Imatest Image Master.
Used by hundreds of companies for developing and testing digital cameras and imaging systems, Imatest Master allows users to test for a variety of image quality factors, including the ability to analyze over 30 test charts with different features for measuring color, tone, sharpness and more.
The key differences between SFRplus and eSFR ISO are outlined. These charts share many similar features and can be used to perform many similar image quality analyses. Understanding which features differ will help you select the most appropriate test chart to analyze your imaging systems.
The elements of the SFRplus test chart enable calculation of a number of image quality factors, including but not limited to spatial frequency response, geometric distortion, tilt, chromatic aberration, tonal response, gamma, white balance and color reproduction.
Imatest SFRreg performs highly automated measurements of sharpness and lateral chromatic aberration from images that contain registration mark patterns: circles with two light and two dark quadrants. Unlike standard test charts, these patterns do not need to be located on a flat surface.
Imatest can estimate an imaging system’s loss of resolution (point spread function) using a pair of collocated, near-sagittal and tangential slanted edges on SFRplus, eSFR ISO and SFRreg targets. Easily analyze and improve sharpness, chromatic aberration, and distortion measurements.
In the Lab
The WFOV Module is an add-on to Imatest’s Modular Test Stand and provides an easy-to use-platform for sharpness testing of wide FOV camera systems up to 200º. The fixture integrates with the Kino Flo LED Freestyle 31 lights. Here we walk you through how to implement this system in your lab setting. Learn More.
Reading an Imatest Plot Episode 2: Noise and Dynamic Range