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Proceedings Paper

Towards a video quality assessment based framework for enhancement of laparoscopic videos
Author(s): Zohaib Amjad Khan; Azeddine Beghdadi; Faouzi Alaya Cheikh; Mounir Kaaniche; Egidijus Pelanis; Rafael Palomar; Åsmund Avdem Fretland; Bjørn Edwin; Ole Jakob Elle
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Paper Abstract

Laparoscopic videos can be affected by different distortions which may impact the performance of surgery and introduce surgical errors. In this work, we propose a framework for automatically detecting and identifying such distortions and their severity using video quality assessment. There are three major contributions presented in this work (i) a proposal for a novel video enhancement framework for laparoscopic surgery; (ii) a publicly available database for quality assessment of laparoscopic videos evaluated by expert as well as non-expert observers and (iii) objective video quality assessment of laparoscopic videos including their correlations with expert and non-expert scores.

Paper Details

Date Published: 16 March 2020
PDF: 8 pages
Proc. SPIE 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, 113160P (16 March 2020); doi: 10.1117/12.2549266
Show Author Affiliations
Zohaib Amjad Khan, Univ. Paris 13 (France)
Azeddine Beghdadi, Univ. Paris 13 (France)
Faouzi Alaya Cheikh, NTNU (Norway)
Mounir Kaaniche, Univ. Paris 13 (France)
Egidijus Pelanis, Oslo Univ. Hospital (Norway)
Univ. of Oslo (Norway)
Rafael Palomar, NTNU (Norway)
Åsmund Avdem Fretland, Oslo Univ. Hospital (Norway)
Univ. of Oslo (Norway)
Bjørn Edwin, Oslo Univ. Hospital (Norway)
Univ. of Oslo (Norway)
Ole Jakob Elle, Oslo Univ. Hospital (Norway)
Univ. of Oslo (Norway)


Published in SPIE Proceedings Vol. 11316:
Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment
Frank W. Samuelson; Sian Taylor-Phillips, Editor(s)

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