Paper
16 March 2020 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.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zohaib Amjad Khan, Azeddine Beghdadi, Faouzi Alaya Cheikh, Mounir Kaaniche, Egidijus Pelanis, Rafael Palomar, Åsmund Avdem Fretland, Bjørn Edwin, and Ole Jakob Elle "Towards a video quality assessment based framework for enhancement of laparoscopic videos", Proc. SPIE 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, 113160P (16 March 2020); https://doi.org/10.1117/12.2549266
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Cited by 5 scholarly publications.
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KEYWORDS
Video

Laparoscopy

Databases

Surgery

Image quality

Subjective video quality evaluation

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