Wyniki wyszukiwania dla: video deblurring

• Concurrent Video Denoising and Deblurring for Dynamic Scenes

  Publikacja

  • E. Katsaros
  • P. Kopa Ostrowski
  • D. Węsierski
  • A. Jezierska

  - IEEE Access - Rok 2021

  Dynamic scene video deblurring is a challenging task due to the spatially variant blur inflicted by independently moving objects and camera shakes. Recent deep learning works bypass the ill-posedness of explicitly deriving the blur kernel by learning pixel-to-pixel mappings, which is commonly enhanced by larger region awareness. This is a difficult yet simplified scenario because noise is neglected when it is omnipresent in a wide...

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• Leveraging spatio-temporal features for joint deblurring and segmentation of instruments in dental video microscopy

  Publikacja

  • E. Katsaros
  • A. Jezierska
  • D. Węsierski

  - Rok 2021

  In dentistry, microscopes have become indispensable optical devices for high-quality treatment and micro-invasive surgery, especially in the field of endodontics. Recent machine vision advances enable more advanced, real-time applications including but not limited to dental video deblurring and workflow analysis through relevant metadata obtained by instrument motion trajectories. To this end, the proposed work addresses dental...

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• Vident-lab: a dataset for multi-task video processing of phantom dental scenes

  Dane Badawcze

  open access

  • E. Katsaros
  • P. Kopa Ostrowski
  • A. Jezierska
  • E. Lewandowska
  • J. Rumiński
  • D. Węsierski

  We introduce a new, asymmetrically annotated dataset of natural teeth in phantom scenes for multi-task video processing: restoration, teeth segmentation, and inter-frame homography estimation. Pairs of frames were acquired with a beam splitter. The dataset constitutes a low-quality frame, its high-quality counterpart, a teeth segmentation mask, and...