EIZO
Image Optimisation Systems Overview
Image Optimisation Systems
Visual Evaluation
Image optimisation for improved visibility
The visual evaluation of image recordings or live recordings is critically important. Be it for crime prevention, monitoring and control of infrastructure, detection of product defects, scientific image analysis and numerous other scenarios.
However, the visibility of footage can be reduced due to uncontrollable circumstances. This increases the risk of wrong decisions or makes efficient evaluation difficult. EIZO image enhancement systems improve visibility in a variety of situations where an accurate review of video content is required.
Models comparison
| Use case | Benefits and advantages | EVS1VX | EVS1VS |
|---|---|---|---|
| Monitoring at night | Lightens dark areas | Yes | Yes |
| Reduces noise at high ISO | Yes* | - | |
| Infrastructure and maintenance | Differentiates cracks in walls or concrete | Yes | Yes |
| Facilitates the detection of manufacturing defects | Yes | Yes | |
| Reduces noise during video compression | |||
| 2D noise reduction | Yes | Yes | |
| 3D noise reduction | Yes* | - | |
| Outdoor surveillance | Differentiates the visual effects of fog and atmospheric haze | Yes | Yes |
| Image analysis | Distinguishes details in mainly monochrome images | Yes* | - |
| Screenshots | Images including improvements on USB stick | Yes* | - |
| Display modes for different situations | Quick switching between different display modes | Yes | - |
| Select image areas | Enhance a specific area of the image | Yes | - |
*Optional
Optimisation of incoming video content
The DuraVision EVS1VX and EVS1VS systems are installed via HDMI between the signal source; camera or recorder, and the monitor or analysis unit to optimise incoming video content. This simplifies the visual differentiation of image details and facilitates image analysis in AI-supported systems.
Visibility Optimizer technology
EVS1VX and EVS1VS are based on EIZO’s Visibility Optimizer, which analyses and adjusts the image pixel by pixel in real time without changing the source data. Areas which are difficult to see due to low light, atmospheric haze or other environmental conditions are detected and the brightness of each pixel is adjusted to increase the recognisability of the scene. This is useful not only for night or fog visibility, but also for detecting surface irregularities, such as cracks in concrete, tracks, pipes or asphalt.
Possible areas of application
