Selective LED Flicker Detection and Mitigation Algorithm for Non-HDR Video Sequences
| Autor: | Nicolai Behmann, Sebastian Hesselbarth, Holger Blume, Gregor Schewior |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Pixel
Computer science Flicker ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Light intensity Filter (video) Face (geometry) Motion estimation 0202 electrical engineering electronic engineering information engineering Traffic sign recognition 020201 artificial intelligence & image processing Image sensor Algorithm ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | ICCE-Berlin |
| DOI: | 10.1109/icce-berlin.2018.8576189 |
| Popis: | With the rise of pulse-width modulated LED light sources in car headlights and peripheral illumination, in-vehicle cameras for traffic sign recognition and electronic mirror replacement face new issues with flicker artifacts due to misaligned irradiation and imager integration times. In this paper, we propose a novel post-processing algorithm based on three consecutive frames, being able to detect and filter those artifacts without the need for high-dynamic range imaging. The local reconstruction of the original light intensity is based on a local flicker detection mask and multiple candidate pixels, generated from bidirectional motion estimation to adjacent frames. |
| Databáze: | OpenAIRE |
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