Towards a video quality assessment based framework for enhancement of laparoscopic videos
Peer reviewed, Journal article
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Original versionProgress in Biomedical Optics and Imaging. 2020, 11316 . 10.1117/12.2549266
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.