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arXiv · 2003.12679

Towards a Video Quality Assessment based Framework for Enhancement of Laparoscopic Videos

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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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.

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Zohaib Amjad Khan, Azeddine Beghdadi, Faouzi Alaya Cheikh, Mounir Kaaniche, Egidijus Pelanis, Rafael Palomar, Åsmund Avdem Fretland, Bjørn Edwin, Ole Jakob Elle. 2020-03-28. Towards a Video Quality Assessment based Framework for Enhancement of Laparoscopic Videos. https://doi.org/10.1117/12.2549266

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