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Image Quality News | Stay updated with the latest developments in image quality testing and measurement technology
13 articles found.
Objective measurements are important. Defining the level of performance a camera must actually achieve is equally as important. The ongoing revision of IEC 62676-5 expands the focus from just measurement methods to application-specific performance requirements for professional security cameras.
Read moreObjective image quality measurements rely on dependable references. Yet while cameras, lighting systems, and test setups are regularly checked, one important factor is often overlooked: the test chart. Reference charts age over time and the aging process can affect the validity of measurement results. You can find the recommended replacement date on the back of your test chart.
Read morePeople rarely sit perfectly still during video conferences. They glance at a second screen, take notes, or briefly turn toward someone else in the room. For webcams, this presents a challenge: they must maintain consistent image quality and respond reliably when a face returns to view. But how can this behavior be measured objectively?
Read moreResolution assessment is one of the most important methods for camera characterization. During its analysis, one question often arises: does a resolution measurement remain meaningful when the image is heavily affected by noise? High noise levels make it more difficult to evaluate the actual detail reproduction capabilities of a camera system. A recent study conducted as part of ISO standardization activities demonstrates that the Siemens-star MTF10 value continues to represent the visually perceived resolution limit reliably, even under these conditions.
Read moreStray light can significantly affect camera performance, particularly in demanding lighting conditions. To reliably compare and evaluate cameras under such circumstances, reproducible measurement methods are essential. The FLARE System combines controlled illumination, precise positioning, and automated analysis into a standardized workflow for flare characterization.
Read moreWide fields of view, specialized lenses, and custom camera designs place growing demands on geometric characterization. With the latest version of the GEOCAL software, version 1.5, we expanded our software’s features with new analysis models, more flexible workflows, and additional automation capabilities that support users in demanding calibration tasks.
Read moreMore and more image processing is taking place directly on edge devices. As a result, the demands placed on intelligent vision systems continue to grow, as do the requirements for the image data on which their decisions are based. Through our membership in the Edge AI and Vision Alliance, we contribute our expertise in image quality and camera testing to an international community.
Read moreModern vehicles no longer observe only their surroundings. Driver and Occupant Monitoring Systems (DMS/OMS) analyze what happens inside the cabin, from gaze direction and driver drowsiness to occupant position and behavior. Many of these systems rely on invisible NIR illumination. To ensure reliable performance, they must also be tested under those exact conditions.
Read moreResolution, noise, and dynamic range can be measured with great precision. But at what point do changes actually become visible to people, and when are images still considered acceptable? A recent study investigates how different image quality parameters are perceived and shows how technical measurements can be linked to human evaluation.
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