dc.contributor.author | Khan, Zohaib Amjad | |
dc.contributor.author | Beghdadi, Azeddine | |
dc.contributor.author | Alaya Cheikh, Faouzi | |
dc.contributor.author | Kaaniche, Mounir | |
dc.contributor.author | Pelanis, Egidijus | |
dc.contributor.author | Palomar, Rafael | |
dc.contributor.author | Fretland, Åsmund Avdem | |
dc.contributor.author | Edwin, Bjørn | |
dc.contributor.author | Elle, Ole Jacob | |
dc.date.accessioned | 2021-09-02T07:44:02Z | |
dc.date.available | 2021-09-02T07:44:02Z | |
dc.date.created | 2020-11-25T11:49:45Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Progress in Biomedical Optics and Imaging. 2020, 11316 . | en_US |
dc.identifier.issn | 1605-7422 | |
dc.identifier.uri | https://hdl.handle.net/11250/2772380 | |
dc.description.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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | SPIE | en_US |
dc.title | Towards a video quality assessment based framework for enhancement of laparoscopic videos | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 8 | en_US |
dc.source.volume | 11316 | en_US |
dc.source.journal | Progress in Biomedical Optics and Imaging | en_US |
dc.identifier.doi | 10.1117/12.2549266 | |
dc.identifier.cristin | 1852160 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |