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.
@article{arxiv.2003.12679,
title = {Towards a Video Quality Assessment based Framework for Enhancement of Laparoscopic Videos},
author = {Zohaib Amjad Khan and Azeddine Beghdadi and Faouzi Alaya Cheikh and Mounir Kaaniche and Egidijus Pelanis and Rafael Palomar and Åsmund Avdem Fretland and Bjørn Edwin and Ole Jakob Elle},
journal= {arXiv preprint arXiv:2003.12679},
year = {2020}
}