English

Multi-task Video Enhancement for Dental Interventions

Computer Vision and Pattern Recognition 2022-10-31 v1 Machine Learning Image and Video Processing

Abstract

A microcamera firmly attached to a dental handpiece allows dentists to continuously monitor the progress of conservative dental procedures. Video enhancement in video-assisted dental interventions alleviates low-light, noise, blur, and camera handshakes that collectively degrade visual comfort. To this end, we introduce a novel deep network for multi-task video enhancement that enables macro-visualization of dental scenes. In particular, the proposed network jointly leverages video restoration and temporal alignment in a multi-scale manner for effective video enhancement. Our experiments on videos of natural teeth in phantom scenes demonstrate that the proposed network achieves state-of-the-art results in multiple tasks with near real-time processing. We release Vident-lab at https://doi.org/10.34808/1jby-ay90, the first dataset of dental videos with multi-task labels to facilitate further research in relevant video processing applications.

Keywords

Cite

@article{arxiv.2210.16236,
  title  = {Multi-task Video Enhancement for Dental Interventions},
  author = {Efklidis Katsaros and Piotr K. Ostrowski and Krzysztof Włódarczak and Emilia Lewandowska and Jacek Ruminski and Damian Siupka-Mróz and Łukasz Lassmann and Anna Jezierska and Daniel Węsierski},
  journal= {arXiv preprint arXiv:2210.16236},
  year   = {2022}
}

Comments

Accepted at MICCAI 2022: https://link.springer.com/chapter/10.1007/978-3-031-16449-1_18

R2 v1 2026-06-28T04:43:52.721Z