ARDIoT | Internet of Things & Smart Cities

Video Enhancer

Video Enhancer was developed to optimize the quality of live and recorded video. This analysis module is applied for video images with poor visibility caused by weather conditions like rain, snow, fog, dust or even for blurred video caused by shaking cameras.

Video Enhancer can reduce these influences to a minimum by filtering and stabilizing the image. Apart from improved results regarding the video analysis, it also assists the operator’s work and helps to reduce possible false alarms. Under certain conditions, critical events are hard to recognize and can be missed. Video Enhancer optimizes video data in order to enhance the detection of events in an image and to improve analysis results.

Fields of Applications

Video Enhancer is applied for video surveillance in visually challenging scenes, as well as in case of poor image quality delivered by cameras, caused by disturbances and artifacts in the image such as fog, rain or snow, poor contrast or shaking cameras. Video Enhancer especially optimizes the images delivered by optical cameras. Some of the processing steps even increase the image quality delivered by infrared or thermal cameras.

Functionality

Video Enhancer optimizes video data in order to enhance the detection of events in an image and to improve analysis results. It allows the filtering of static disturbances such as fog or smoke, but also of environmental influences like rain or snow. Also blurred images caused by strong wind and leading to shaking cameras can be stabilized by matching feature points to a reference image.